id	sid	tid	token	lemma	pos
ajst-14945	1	1	academic	academic	ADJ
ajst-14945	1	2	journal	journal	NOUN
ajst-14945	1	3	of	of	ADP
ajst-14945	1	4	science	science	NOUN
ajst-14945	1	5	and	and	CCONJ
ajst-14945	1	6	technology	technology	NOUN
ajst-14945	1	7	issn	issn	NOUN
ajst-14945	1	8	:	:	PUNCT
ajst-14945	1	9	2771	2771	NUM
ajst-14945	1	10	-	-	SYM
ajst-14945	1	11	3032	3032	NUM
ajst-14945	1	12	|	|	NOUN
ajst-14945	1	13	vol	vol	NOUN
ajst-14945	1	14	.	.	PROPN
ajst-14945	1	15	8	8	NUM
ajst-14945	1	16	,	,	PUNCT
ajst-14945	1	17	no	no	INTJ
ajst-14945	1	18	.	.	NOUN
ajst-14945	1	19	2	2	NUM
ajst-14945	1	20	,	,	PUNCT
ajst-14945	1	21	2023	2023	NUM
ajst-14945	1	22	57	57	NUM
ajst-14945	1	23	the	the	DET
ajst-14945	1	24	application	application	NOUN
ajst-14945	1	25	of	of	ADP
ajst-14945	1	26	artificial	artificial	ADJ
ajst-14945	1	27	intelligence	intelligence	NOUN
ajst-14945	1	28	in	in	ADP
ajst-14945	1	29	medical	medical	ADJ
ajst-14945	1	30	diagnostics	diagnostic	NOUN
ajst-14945	1	31	:	:	PUNCT
ajst-14945	1	32	a	a	DET
ajst-14945	1	33	new	new	ADJ
ajst-14945	1	34	frontier	frontier	NOUN
ajst-14945	1	35	miao	miao	NOUN
ajst-14945	1	36	tian1	tian1	PROPN
ajst-14945	1	37	,	,	PUNCT
ajst-14945	1	38	*	*	PUNCT
ajst-14945	1	39	,	,	PUNCT
ajst-14945	1	40	zepeng	zepeng	NOUN
ajst-14945	1	41	shen2	shen2	NOUN
ajst-14945	1	42	,	,	PUNCT
ajst-14945	1	43	xingnan	xingnan	PRON
ajst-14945	1	44	wu3	wu3	PROPN
ajst-14945	1	45	,	,	PUNCT
ajst-14945	1	46	kuo	kuo	PROPN
ajst-14945	1	47	wei4	wei4	PROPN
ajst-14945	1	48	,	,	PUNCT
ajst-14945	1	49	yuxiang	yuxiang	PROPN
ajst-14945	1	50	liu5	liu5	PROPN
ajst-14945	1	51	1	1	NUM
ajst-14945	1	52	computer	computer	NOUN
ajst-14945	1	53	science	science	NOUN
ajst-14945	1	54	,	,	PUNCT
ajst-14945	1	55	san	san	PROPN
ajst-14945	1	56	francisco	francisco	PROPN
ajst-14945	1	57	bay	bay	PROPN
ajst-14945	1	58	university	university	PROPN
ajst-14945	1	59	,	,	PUNCT
ajst-14945	1	60	fremont	fremont	PROPN
ajst-14945	1	61	,	,	PUNCT
ajst-14945	1	62	california	california	PROPN
ajst-14945	1	63	,	,	PUNCT
ajst-14945	1	64	usa	usa	PROPN
ajst-14945	1	65	2	2	NUM
ajst-14945	1	66	network	network	NOUN
ajst-14945	1	67	engineering	engineering	NOUN
ajst-14945	1	68	,	,	PUNCT
ajst-14945	1	69	shaanxi	shaanxi	PROPN
ajst-14945	1	70	university	university	PROPN
ajst-14945	1	71	of	of	ADP
ajst-14945	1	72	technology	technology	PROPN
ajst-14945	1	73	,	,	PUNCT
ajst-14945	1	74	shaanxi	shaanxi	PROPN
ajst-14945	1	75	723001	723001	NUM
ajst-14945	1	76	,	,	PUNCT
ajst-14945	1	77	china	china	PROPN
ajst-14945	1	78	3	3	NUM
ajst-14945	1	79	information	information	NOUN
ajst-14945	1	80	studies	study	NOUN
ajst-14945	1	81	,	,	PUNCT
ajst-14945	1	82	trine	trine	PROPN
ajst-14945	1	83	university	university	PROPN
ajst-14945	1	84	,	,	PUNCT
ajst-14945	1	85	phoenix	phoenix	PROPN
ajst-14945	1	86	,	,	PUNCT
ajst-14945	1	87	usa	usa	PROPN
ajst-14945	1	88	4	4	NUM
ajst-14945	1	89	computer	computer	NOUN
ajst-14945	1	90	science	science	NOUN
ajst-14945	1	91	,	,	PUNCT
ajst-14945	1	92	individual	individual	ADJ
ajst-14945	1	93	contributor	contributor	NOUN
ajst-14945	1	94	,	,	PUNCT
ajst-14945	1	95	shenzhen	shenzhen	PROPN
ajst-14945	1	96	,	,	PUNCT
ajst-14945	1	97	china	china	PROPN
ajst-14945	1	98	5	5	NUM
ajst-14945	1	99	computer	computer	NOUN
ajst-14945	1	100	engineering	engineering	NOUN
ajst-14945	1	101	,	,	PUNCT
ajst-14945	1	102	northwestern	northwestern	ADJ
ajst-14945	1	103	university	university	NOUN
ajst-14945	1	104	,	,	PUNCT
ajst-14945	1	105	atlanta	atlanta	PROPN
ajst-14945	1	106	,	,	PUNCT
ajst-14945	1	107	georgia	georgia	PROPN
ajst-14945	1	108	,	,	PUNCT
ajst-14945	1	109	usa	usa	PROPN
ajst-14945	1	110	*	*	PUNCT
ajst-14945	1	111	corresponding	correspond	VERB
ajst-14945	1	112	author	author	NOUN
ajst-14945	1	113	:	:	PUNCT
ajst-14945	1	114	miao	miao	PROPN
ajst-14945	1	115	tian	tian	PROPN
ajst-14945	1	116	(	(	PUNCT
ajst-14945	1	117	email	email	NOUN
ajst-14945	1	118	:	:	PUNCT
ajst-14945	1	119	miao.hnlk@gmail.com	miao.hnlk@gmail.com	X
ajst-14945	1	120	)	)	PUNCT
ajst-14945	1	121	abstract	abstract	NOUN
ajst-14945	1	122	:	:	PUNCT
ajst-14945	1	123	this	this	DET
ajst-14945	1	124	study	study	NOUN
ajst-14945	1	125	reviews	review	VERB
ajst-14945	1	126	the	the	DET
ajst-14945	1	127	latest	late	ADJ
ajst-14945	1	128	progress	progress	NOUN
ajst-14945	1	129	in	in	ADP
ajst-14945	1	130	the	the	DET
ajst-14945	1	131	application	application	NOUN
ajst-14945	1	132	of	of	ADP
ajst-14945	1	133	artificial	artificial	ADJ
ajst-14945	1	134	intelligence	intelligence	NOUN
ajst-14945	1	135	(	(	PUNCT
ajst-14945	1	136	ai	ai	NOUN
ajst-14945	1	137	)	)	PUNCT
ajst-14945	1	138	in	in	ADP
ajst-14945	1	139	the	the	DET
ajst-14945	1	140	medical	medical	ADJ
ajst-14945	1	141	field	field	NOUN
ajst-14945	1	142	,	,	PUNCT
ajst-14945	1	143	focusing	focus	VERB
ajst-14945	1	144	on	on	ADP
ajst-14945	1	145	the	the	DET
ajst-14945	1	146	application	application	NOUN
ajst-14945	1	147	of	of	ADP
ajst-14945	1	148	ai	ai	PRON
ajst-14945	1	149	technology	technology	NOUN
ajst-14945	1	150	in	in	ADP
ajst-14945	1	151	clinical	clinical	ADJ
ajst-14945	1	152	diagnosis	diagnosis	NOUN
ajst-14945	1	153	,	,	PUNCT
ajst-14945	1	154	medical	medical	ADJ
ajst-14945	1	155	equipment	equipment	NOUN
ajst-14945	1	156	management	management	NOUN
ajst-14945	1	157	,	,	PUNCT
ajst-14945	1	158	dentistry	dentistry	NOUN
ajst-14945	1	159	,	,	PUNCT
ajst-14945	1	160	ophthalmology	ophthalmology	NOUN
ajst-14945	1	161	and	and	CCONJ
ajst-14945	1	162	surgical	surgical	ADJ
ajst-14945	1	163	care	care	NOUN
ajst-14945	1	164	.	.	PUNCT
ajst-14945	2	1	by	by	ADP
ajst-14945	2	2	analyzing	analyze	VERB
ajst-14945	2	3	multiple	multiple	ADJ
ajst-14945	2	4	academic	academic	ADJ
ajst-14945	2	5	documents	document	NOUN
ajst-14945	2	6	,	,	PUNCT
ajst-14945	2	7	this	this	DET
ajst-14945	2	8	article	article	NOUN
ajst-14945	2	9	deeply	deeply	ADV
ajst-14945	2	10	explores	explore	VERB
ajst-14945	2	11	the	the	DET
ajst-14945	2	12	role	role	NOUN
ajst-14945	2	13	of	of	ADP
ajst-14945	2	14	ai	ai	VERB
ajst-14945	2	15	in	in	ADP
ajst-14945	2	16	improving	improve	VERB
ajst-14945	2	17	the	the	DET
ajst-14945	2	18	accuracy	accuracy	NOUN
ajst-14945	2	19	of	of	ADP
ajst-14945	2	20	medical	medical	ADJ
ajst-14945	2	21	diagnosis	diagnosis	NOUN
ajst-14945	2	22	,	,	PUNCT
ajst-14945	2	23	the	the	DET
ajst-14945	2	24	efficiency	efficiency	NOUN
ajst-14945	2	25	of	of	ADP
ajst-14945	2	26	clinical	clinical	ADJ
ajst-14945	2	27	skills	skill	NOUN
ajst-14945	2	28	training	training	NOUN
ajst-14945	2	29	,	,	PUNCT
ajst-14945	2	30	and	and	CCONJ
ajst-14945	2	31	medical	medical	ADJ
ajst-14945	2	32	equipment	equipment	NOUN
ajst-14945	2	33	management	management	NOUN
ajst-14945	2	34	.	.	PUNCT
ajst-14945	3	1	in	in	ADP
ajst-14945	3	2	particular	particular	ADJ
ajst-14945	3	3	,	,	PUNCT
ajst-14945	3	4	the	the	DET
ajst-14945	3	5	literature	literature	NOUN
ajst-14945	3	6	review	review	NOUN
ajst-14945	3	7	points	point	VERB
ajst-14945	3	8	out	out	ADP
ajst-14945	3	9	the	the	DET
ajst-14945	3	10	efficient	efficient	ADJ
ajst-14945	3	11	performance	performance	NOUN
ajst-14945	3	12	of	of	ADP
ajst-14945	3	13	convolutional	convolutional	ADJ
ajst-14945	3	14	neural	neural	ADJ
ajst-14945	3	15	networks	network	NOUN
ajst-14945	3	16	(	(	PUNCT
ajst-14945	3	17	cnn	cnn	PROPN
ajst-14945	3	18	)	)	PUNCT
ajst-14945	3	19	in	in	ADP
ajst-14945	3	20	processing	process	VERB
ajst-14945	3	21	medical	medical	ADJ
ajst-14945	3	22	images	image	NOUN
ajst-14945	3	23	,	,	PUNCT
ajst-14945	3	24	and	and	CCONJ
ajst-14945	3	25	its	its	PRON
ajst-14945	3	26	potential	potential	ADJ
ajst-14945	3	27	applications	application	NOUN
ajst-14945	3	28	in	in	ADP
ajst-14945	3	29	periodontics	periodontic	NOUN
ajst-14945	3	30	and	and	CCONJ
ajst-14945	3	31	ophthalmology	ophthalmology	NOUN
ajst-14945	3	32	diagnosis	diagnosis	NOUN
ajst-14945	3	33	.	.	PUNCT
ajst-14945	4	1	at	at	ADP
ajst-14945	4	2	the	the	DET
ajst-14945	4	3	same	same	ADJ
ajst-14945	4	4	time	time	NOUN
ajst-14945	4	5	,	,	PUNCT
ajst-14945	4	6	this	this	DET
ajst-14945	4	7	article	article	NOUN
ajst-14945	4	8	also	also	ADV
ajst-14945	4	9	discusses	discuss	VERB
ajst-14945	4	10	the	the	DET
ajst-14945	4	11	ethical	ethical	ADJ
ajst-14945	4	12	and	and	CCONJ
ajst-14945	4	13	legal	legal	ADJ
ajst-14945	4	14	challenges	challenge	NOUN
ajst-14945	4	15	faced	face	VERB
ajst-14945	4	16	by	by	ADP
ajst-14945	4	17	ai	ai	NOUN
ajst-14945	4	18	in	in	ADP
ajst-14945	4	19	the	the	DET
ajst-14945	4	20	medical	medical	ADJ
ajst-14945	4	21	field	field	NOUN
ajst-14945	4	22	,	,	PUNCT
ajst-14945	4	23	as	as	ADV
ajst-14945	4	24	well	well	ADV
ajst-14945	4	25	as	as	ADP
ajst-14945	4	26	potential	potential	ADJ
ajst-14945	4	27	directions	direction	NOUN
ajst-14945	4	28	for	for	ADP
ajst-14945	4	29	future	future	ADJ
ajst-14945	4	30	development	development	NOUN
ajst-14945	4	31	.	.	PUNCT
ajst-14945	5	1	these	these	DET
ajst-14945	5	2	findings	finding	NOUN
ajst-14945	5	3	not	not	PART
ajst-14945	5	4	only	only	ADV
ajst-14945	5	5	reveal	reveal	VERB
ajst-14945	5	6	the	the	DET
ajst-14945	5	7	huge	huge	ADJ
ajst-14945	5	8	potential	potential	NOUN
ajst-14945	5	9	of	of	ADP
ajst-14945	5	10	ai	ai	PRON
ajst-14945	5	11	technology	technology	NOUN
ajst-14945	5	12	in	in	ADP
ajst-14945	5	13	the	the	DET
ajst-14945	5	14	medical	medical	ADJ
ajst-14945	5	15	field	field	NOUN
ajst-14945	5	16	,	,	PUNCT
ajst-14945	5	17	but	but	CCONJ
ajst-14945	5	18	also	also	ADV
ajst-14945	5	19	highlight	highlight	VERB
ajst-14945	5	20	the	the	DET
ajst-14945	5	21	ethical	ethical	ADJ
ajst-14945	5	22	and	and	CCONJ
ajst-14945	5	23	governance	governance	NOUN
ajst-14945	5	24	issues	issue	NOUN
ajst-14945	5	25	that	that	PRON
ajst-14945	5	26	need	need	VERB
ajst-14945	5	27	to	to	PART
ajst-14945	5	28	be	be	AUX
ajst-14945	5	29	considered	consider	VERB
ajst-14945	5	30	when	when	SCONJ
ajst-14945	5	31	promoting	promote	VERB
ajst-14945	5	32	these	these	DET
ajst-14945	5	33	technologies	technology	NOUN
ajst-14945	5	34	.	.	PUNCT
ajst-14945	6	1	overall	overall	ADV
ajst-14945	6	2	,	,	PUNCT
ajst-14945	6	3	this	this	DET
ajst-14945	6	4	review	review	NOUN
ajst-14945	6	5	provides	provide	VERB
ajst-14945	6	6	a	a	DET
ajst-14945	6	7	comprehensive	comprehensive	ADJ
ajst-14945	6	8	perspective	perspective	NOUN
ajst-14945	6	9	for	for	ADP
ajst-14945	6	10	understanding	understand	VERB
ajst-14945	6	11	the	the	DET
ajst-14945	6	12	current	current	ADJ
ajst-14945	6	13	applications	application	NOUN
ajst-14945	6	14	and	and	CCONJ
ajst-14945	6	15	future	future	ADJ
ajst-14945	6	16	development	development	NOUN
ajst-14945	6	17	of	of	ADP
ajst-14945	6	18	ai	ai	NOUN
ajst-14945	6	19	in	in	ADP
ajst-14945	6	20	the	the	DET
ajst-14945	6	21	medical	medical	ADJ
ajst-14945	6	22	field	field	NOUN
ajst-14945	6	23	.	.	PUNCT
ajst-14945	7	1	keywords	keyword	NOUN
ajst-14945	7	2	:	:	PUNCT
ajst-14945	7	3	cnn	cnn	PROPN
ajst-14945	7	4	;	;	PUNCT
ajst-14945	7	5	mri	mri	X
ajst-14945	7	6	;	;	PUNCT
ajst-14945	7	7	ct	ct	PROPN
ajst-14945	7	8	scan	scan	NOUN
ajst-14945	7	9	.	.	PUNCT
ajst-14945	8	1	1	1	X
ajst-14945	8	2	.	.	X
ajst-14945	8	3	introduction	introduction	NOUN
ajst-14945	8	4	in	in	ADP
ajst-14945	8	5	recent	recent	ADJ
ajst-14945	8	6	years	year	NOUN
ajst-14945	8	7	,	,	PUNCT
ajst-14945	8	8	the	the	DET
ajst-14945	8	9	intersection	intersection	NOUN
ajst-14945	8	10	of	of	ADP
ajst-14945	8	11	artificial	artificial	ADJ
ajst-14945	8	12	intelligence	intelligence	NOUN
ajst-14945	8	13	(	(	PUNCT
ajst-14945	8	14	ai	ai	NOUN
ajst-14945	8	15	)	)	PUNCT
ajst-14945	8	16	and	and	CCONJ
ajst-14945	8	17	healthcare	healthcare	NOUN
ajst-14945	8	18	has	have	AUX
ajst-14945	8	19	emerged	emerge	VERB
ajst-14945	8	20	as	as	ADP
ajst-14945	8	21	a	a	DET
ajst-14945	8	22	field	field	NOUN
ajst-14945	8	23	of	of	ADP
ajst-14945	8	24	significant	significant	ADJ
ajst-14945	8	25	potential	potential	NOUN
ajst-14945	8	26	and	and	CCONJ
ajst-14945	8	27	urgency	urgency	NOUN
ajst-14945	8	28	.	.	PUNCT
ajst-14945	9	1	the	the	DET
ajst-14945	9	2	integration	integration	NOUN
ajst-14945	9	3	of	of	ADP
ajst-14945	9	4	ai	ai	PROPN
ajst-14945	9	5	technologies	technology	NOUN
ajst-14945	9	6	in	in	ADP
ajst-14945	9	7	medical	medical	ADJ
ajst-14945	9	8	diagnostics	diagnostic	NOUN
ajst-14945	9	9	represents	represent	VERB
ajst-14945	9	10	a	a	DET
ajst-14945	9	11	paradigm	paradigm	NOUN
ajst-14945	9	12	shift	shift	NOUN
ajst-14945	9	13	,	,	PUNCT
ajst-14945	9	14	offering	offer	VERB
ajst-14945	9	15	opportunities	opportunity	NOUN
ajst-14945	9	16	to	to	PART
ajst-14945	9	17	enhance	enhance	VERB
ajst-14945	9	18	the	the	DET
ajst-14945	9	19	accuracy	accuracy	NOUN
ajst-14945	9	20	,	,	PUNCT
ajst-14945	9	21	efficiency	efficiency	NOUN
ajst-14945	9	22	,	,	PUNCT
ajst-14945	9	23	and	and	CCONJ
ajst-14945	9	24	accessibility	accessibility	NOUN
ajst-14945	9	25	of	of	ADP
ajst-14945	9	26	healthcare	healthcare	NOUN
ajst-14945	9	27	services	service	NOUN
ajst-14945	9	28	.	.	PUNCT
ajst-14945	10	1	this	this	DET
ajst-14945	10	2	research	research	NOUN
ajst-14945	10	3	focuses	focus	VERB
ajst-14945	10	4	on	on	ADP
ajst-14945	10	5	exploring	explore	VERB
ajst-14945	10	6	the	the	DET
ajst-14945	10	7	application	application	NOUN
ajst-14945	10	8	of	of	ADP
ajst-14945	10	9	ai	ai	NOUN
ajst-14945	10	10	in	in	ADP
ajst-14945	10	11	medical	medical	ADJ
ajst-14945	10	12	diagnostics	diagnostic	NOUN
ajst-14945	10	13	,	,	PUNCT
ajst-14945	10	14	a	a	DET
ajst-14945	10	15	vital	vital	ADJ
ajst-14945	10	16	area	area	NOUN
ajst-14945	10	17	where	where	SCONJ
ajst-14945	10	18	ai	ai	NOUN
ajst-14945	10	19	can	can	AUX
ajst-14945	10	20	significantly	significantly	ADV
ajst-14945	10	21	impact	impact	VERB
ajst-14945	10	22	patient	patient	ADJ
ajst-14945	10	23	outcomes	outcome	NOUN
ajst-14945	10	24	and	and	CCONJ
ajst-14945	10	25	healthcare	healthcare	NOUN
ajst-14945	10	26	processes	process	NOUN
ajst-14945	10	27	.	.	PUNCT
ajst-14945	11	1	artificial	artificial	ADJ
ajst-14945	11	2	intelligence	intelligence	NOUN
ajst-14945	11	3	,	,	PUNCT
ajst-14945	11	4	in	in	ADP
ajst-14945	11	5	the	the	DET
ajst-14945	11	6	context	context	NOUN
ajst-14945	11	7	of	of	ADP
ajst-14945	11	8	this	this	DET
ajst-14945	11	9	research	research	NOUN
ajst-14945	11	10	,	,	PUNCT
ajst-14945	11	11	refers	refer	VERB
ajst-14945	11	12	to	to	ADP
ajst-14945	11	13	the	the	DET
ajst-14945	11	14	simulation	simulation	NOUN
ajst-14945	11	15	of	of	ADP
ajst-14945	11	16	human	human	ADJ
ajst-14945	11	17	intelligence	intelligence	NOUN
ajst-14945	11	18	processes	process	NOUN
ajst-14945	11	19	by	by	ADP
ajst-14945	11	20	machines	machine	NOUN
ajst-14945	11	21	,	,	PUNCT
ajst-14945	11	22	especially	especially	ADV
ajst-14945	11	23	computer	computer	NOUN
ajst-14945	11	24	systems	system	NOUN
ajst-14945	11	25	.	.	PUNCT
ajst-14945	12	1	these	these	DET
ajst-14945	12	2	processes	process	NOUN
ajst-14945	12	3	include	include	VERB
ajst-14945	12	4	learning	learn	VERB
ajst-14945	12	5	,	,	PUNCT
ajst-14945	12	6	reasoning	reasoning	NOUN
ajst-14945	12	7	,	,	PUNCT
ajst-14945	12	8	and	and	CCONJ
ajst-14945	12	9	self	self	NOUN
ajst-14945	12	10	-	-	PUNCT
ajst-14945	12	11	correction	correction	NOUN
ajst-14945	12	12	.	.	PUNCT
ajst-14945	13	1	specifically	specifically	ADV
ajst-14945	13	2	,	,	PUNCT
ajst-14945	13	3	in	in	ADP
ajst-14945	13	4	medical	medical	ADJ
ajst-14945	13	5	diagnostics	diagnostic	NOUN
ajst-14945	13	6	,	,	PUNCT
ajst-14945	13	7	ai	ai	VERB
ajst-14945	13	8	can	can	AUX
ajst-14945	13	9	interpret	interpret	VERB
ajst-14945	13	10	complex	complex	ADJ
ajst-14945	13	11	medical	medical	ADJ
ajst-14945	13	12	data	datum	NOUN
ajst-14945	13	13	,	,	PUNCT
ajst-14945	13	14	recognize	recognize	VERB
ajst-14945	13	15	patterns	pattern	NOUN
ajst-14945	13	16	,	,	PUNCT
ajst-14945	13	17	and	and	CCONJ
ajst-14945	13	18	make	make	VERB
ajst-14945	13	19	predictions	prediction	NOUN
ajst-14945	13	20	,	,	PUNCT
ajst-14945	13	21	often	often	ADV
ajst-14945	13	22	with	with	ADP
ajst-14945	13	23	greater	great	ADJ
ajst-14945	13	24	speed	speed	NOUN
ajst-14945	13	25	and	and	CCONJ
ajst-14945	13	26	accuracy	accuracy	NOUN
ajst-14945	13	27	than	than	ADP
ajst-14945	13	28	human	human	ADJ
ajst-14945	13	29	practitioners	practitioner	NOUN
ajst-14945	13	30	.	.	PUNCT
ajst-14945	14	1	the	the	DET
ajst-14945	14	2	importance	importance	NOUN
ajst-14945	14	3	of	of	ADP
ajst-14945	14	4	this	this	DET
ajst-14945	14	5	research	research	NOUN
ajst-14945	14	6	lies	lie	VERB
ajst-14945	14	7	in	in	ADP
ajst-14945	14	8	addressing	address	VERB
ajst-14945	14	9	the	the	DET
ajst-14945	14	10	growing	grow	VERB
ajst-14945	14	11	demands	demand	NOUN
ajst-14945	14	12	for	for	ADP
ajst-14945	14	13	healthcare	healthcare	NOUN
ajst-14945	14	14	services	service	NOUN
ajst-14945	14	15	,	,	PUNCT
ajst-14945	14	16	exacerbated	exacerbate	VERB
ajst-14945	14	17	by	by	ADP
ajst-14945	14	18	aging	age	VERB
ajst-14945	14	19	populations	population	NOUN
ajst-14945	14	20	and	and	CCONJ
ajst-14945	14	21	the	the	DET
ajst-14945	14	22	increasing	increase	VERB
ajst-14945	14	23	prevalence	prevalence	NOUN
ajst-14945	14	24	of	of	ADP
ajst-14945	14	25	chronic	chronic	ADJ
ajst-14945	14	26	diseases	disease	NOUN
ajst-14945	14	27	.	.	PUNCT
ajst-14945	15	1	ai	ai	VERB
ajst-14945	15	2	can	can	AUX
ajst-14945	15	3	assist	assist	VERB
ajst-14945	15	4	in	in	ADP
ajst-14945	15	5	managing	manage	VERB
ajst-14945	15	6	these	these	DET
ajst-14945	15	7	challenges	challenge	NOUN
ajst-14945	15	8	by	by	ADP
ajst-14945	15	9	augmenting	augment	VERB
ajst-14945	15	10	human	human	ADJ
ajst-14945	15	11	capabilities	capability	NOUN
ajst-14945	15	12	,	,	PUNCT
ajst-14945	15	13	leading	lead	VERB
ajst-14945	15	14	to	to	ADP
ajst-14945	15	15	more	more	ADV
ajst-14945	15	16	timely	timely	ADJ
ajst-14945	15	17	and	and	CCONJ
ajst-14945	15	18	accurate	accurate	ADJ
ajst-14945	15	19	diagnoses	diagnosis	NOUN
ajst-14945	15	20	.	.	PUNCT
ajst-14945	16	1	furthermore	furthermore	ADV
ajst-14945	16	2	,	,	PUNCT
ajst-14945	16	3	the	the	DET
ajst-14945	16	4	application	application	NOUN
ajst-14945	16	5	of	of	ADP
ajst-14945	16	6	ai	ai	NOUN
ajst-14945	16	7	in	in	ADP
ajst-14945	16	8	diagnostics	diagnostic	NOUN
ajst-14945	16	9	has	have	VERB
ajst-14945	16	10	the	the	DET
ajst-14945	16	11	potential	potential	NOUN
ajst-14945	16	12	to	to	PART
ajst-14945	16	13	reduce	reduce	VERB
ajst-14945	16	14	healthcare	healthcare	NOUN
ajst-14945	16	15	costs	cost	NOUN
ajst-14945	16	16	and	and	CCONJ
ajst-14945	16	17	improve	improve	VERB
ajst-14945	16	18	patient	patient	ADJ
ajst-14945	16	19	experiences	experience	NOUN
ajst-14945	16	20	by	by	ADP
ajst-14945	16	21	offering	offer	VERB
ajst-14945	16	22	personalized	personalize	VERB
ajst-14945	16	23	and	and	CCONJ
ajst-14945	16	24	efficient	efficient	ADJ
ajst-14945	16	25	care	care	NOUN
ajst-14945	16	26	.	.	PUNCT
ajst-14945	17	1	this	this	DET
ajst-14945	17	2	study	study	NOUN
ajst-14945	17	3	poses	pose	VERB
ajst-14945	17	4	the	the	DET
ajst-14945	17	5	following	follow	VERB
ajst-14945	17	6	research	research	NOUN
ajst-14945	17	7	question	question	NOUN
ajst-14945	17	8	:	:	PUNCT
ajst-14945	17	9	how	how	SCONJ
ajst-14945	17	10	can	can	AUX
ajst-14945	17	11	artificial	artificial	ADJ
ajst-14945	17	12	intelligence	intelligence	NOUN
ajst-14945	17	13	be	be	AUX
ajst-14945	17	14	effectively	effectively	ADV
ajst-14945	17	15	integrated	integrate	VERB
ajst-14945	17	16	into	into	ADP
ajst-14945	17	17	medical	medical	ADJ
ajst-14945	17	18	diagnostic	diagnostic	ADJ
ajst-14945	17	19	processes	process	NOUN
ajst-14945	17	20	to	to	PART
ajst-14945	17	21	improve	improve	VERB
ajst-14945	17	22	accuracy	accuracy	NOUN
ajst-14945	17	23	and	and	CCONJ
ajst-14945	17	24	efficiency	efficiency	NOUN
ajst-14945	17	25	?	?	PUNCT
ajst-14945	18	1	the	the	DET
ajst-14945	18	2	accompanying	accompanying	ADJ
ajst-14945	18	3	hypothesis	hypothesis	NOUN
ajst-14945	18	4	is	be	AUX
ajst-14945	18	5	that	that	SCONJ
ajst-14945	18	6	ai	ai	VERB
ajst-14945	18	7	algorithms	algorithm	NOUN
ajst-14945	18	8	,	,	PUNCT
ajst-14945	18	9	when	when	SCONJ
ajst-14945	18	10	properly	properly	ADV
ajst-14945	18	11	developed	develop	VERB
ajst-14945	18	12	and	and	CCONJ
ajst-14945	18	13	implemented	implement	VERB
ajst-14945	18	14	,	,	PUNCT
ajst-14945	18	15	can	can	AUX
ajst-14945	18	16	outperform	outperform	VERB
ajst-14945	18	17	traditional	traditional	ADJ
ajst-14945	18	18	diagnostic	diagnostic	ADJ
ajst-14945	18	19	methods	method	NOUN
ajst-14945	18	20	in	in	ADP
ajst-14945	18	21	terms	term	NOUN
ajst-14945	18	22	of	of	ADP
ajst-14945	18	23	accuracy	accuracy	NOUN
ajst-14945	18	24	and	and	CCONJ
ajst-14945	18	25	speed	speed	NOUN
ajst-14945	18	26	,	,	PUNCT
ajst-14945	18	27	thereby	thereby	ADV
ajst-14945	18	28	revolutionizing	revolutionize	VERB
ajst-14945	18	29	the	the	DET
ajst-14945	18	30	landscape	landscape	NOUN
ajst-14945	18	31	of	of	ADP
ajst-14945	18	32	medical	medical	ADJ
ajst-14945	18	33	diagnostics	diagnostic	NOUN
ajst-14945	18	34	.	.	PUNCT
ajst-14945	19	1	through	through	ADP
ajst-14945	19	2	an	an	DET
ajst-14945	19	3	in	in	ADP
ajst-14945	19	4	-	-	PUNCT
ajst-14945	19	5	depth	depth	NOUN
ajst-14945	19	6	exploration	exploration	NOUN
ajst-14945	19	7	of	of	ADP
ajst-14945	19	8	this	this	DET
ajst-14945	19	9	topic	topic	NOUN
ajst-14945	19	10	,	,	PUNCT
ajst-14945	19	11	this	this	DET
ajst-14945	19	12	research	research	NOUN
ajst-14945	19	13	aims	aim	VERB
ajst-14945	19	14	to	to	PART
ajst-14945	19	15	contribute	contribute	VERB
ajst-14945	19	16	to	to	ADP
ajst-14945	19	17	the	the	DET
ajst-14945	19	18	understanding	understanding	NOUN
ajst-14945	19	19	of	of	ADP
ajst-14945	19	20	ai	ai	PROPN
ajst-14945	19	21	's	's	PART
ajst-14945	19	22	role	role	NOUN
ajst-14945	19	23	in	in	ADP
ajst-14945	19	24	healthcare	healthcare	PROPN
ajst-14945	19	25	,	,	PUNCT
ajst-14945	19	26	providing	provide	VERB
ajst-14945	19	27	a	a	DET
ajst-14945	19	28	foundation	foundation	NOUN
ajst-14945	19	29	for	for	ADP
ajst-14945	19	30	future	future	ADJ
ajst-14945	19	31	innovations	innovation	NOUN
ajst-14945	19	32	and	and	CCONJ
ajst-14945	19	33	implementations	implementation	NOUN
ajst-14945	19	34	in	in	ADP
ajst-14945	19	35	medical	medical	ADJ
ajst-14945	19	36	diagnostics	diagnostic	NOUN
ajst-14945	19	37	.	.	PUNCT
ajst-14945	20	1	2	2	X
ajst-14945	20	2	.	.	X
ajst-14945	20	3	literature	literature	NOUN
ajst-14945	20	4	review	review	NOUN
ajst-14945	20	5	in	in	ADP
ajst-14945	20	6	recent	recent	ADJ
ajst-14945	20	7	years	year	NOUN
ajst-14945	20	8	,	,	PUNCT
ajst-14945	20	9	the	the	DET
ajst-14945	20	10	application	application	NOUN
ajst-14945	20	11	of	of	ADP
ajst-14945	20	12	artificial	artificial	ADJ
ajst-14945	20	13	intelligence	intelligence	NOUN
ajst-14945	20	14	(	(	PUNCT
ajst-14945	20	15	ai	ai	NOUN
ajst-14945	20	16	)	)	PUNCT
ajst-14945	20	17	in	in	ADP
ajst-14945	20	18	various	various	ADJ
ajst-14945	20	19	fields	field	NOUN
ajst-14945	20	20	has	have	AUX
ajst-14945	20	21	made	make	VERB
ajst-14945	20	22	significant	significant	ADJ
ajst-14945	20	23	progress	progress	NOUN
ajst-14945	20	24	,	,	PUNCT
ajst-14945	20	25	especially	especially	ADV
ajst-14945	20	26	in	in	ADP
ajst-14945	20	27	engineering	engineering	NOUN
ajst-14945	20	28	science	science	NOUN
ajst-14945	20	29	and	and	CCONJ
ajst-14945	20	30	medical	medical	ADJ
ajst-14945	20	31	fields	field	NOUN
ajst-14945	20	32	.	.	PUNCT
ajst-14945	21	1	this	this	DET
ajst-14945	21	2	article	article	NOUN
ajst-14945	21	3	reviews	review	VERB
ajst-14945	21	4	several	several	ADJ
ajst-14945	21	5	recently	recently	ADV
ajst-14945	21	6	published	publish	VERB
ajst-14945	21	7	research	research	NOUN
ajst-14945	21	8	papers	paper	NOUN
ajst-14945	21	9	to	to	PART
ajst-14945	21	10	demonstrate	demonstrate	VERB
ajst-14945	21	11	the	the	DET
ajst-14945	21	12	latest	late	ADJ
ajst-14945	21	13	applications	application	NOUN
ajst-14945	21	14	and	and	CCONJ
ajst-14945	21	15	research	research	NOUN
ajst-14945	21	16	trends	trend	NOUN
ajst-14945	21	17	of	of	ADP
ajst-14945	21	18	ai	ai	PRON
ajst-14945	21	19	technology	technology	NOUN
ajst-14945	21	20	in	in	ADP
ajst-14945	21	21	these	these	DET
ajst-14945	21	22	fields	field	NOUN
ajst-14945	21	23	.	.	PUNCT
ajst-14945	22	1	chang	chang	PROPN
ajst-14945	22	2	che	che	PROPN
ajst-14945	22	3	et	et	PROPN
ajst-14945	22	4	al	al	PROPN
ajst-14945	22	5	.	.	PROPN
ajst-14945	22	6	(	(	PUNCT
ajst-14945	22	7	2023	2023	NUM
ajst-14945	22	8	)	)	PUNCT
ajst-14945	22	9	explored	explore	VERB
ajst-14945	22	10	the	the	DET
ajst-14945	22	11	application	application	NOUN
ajst-14945	22	12	of	of	ADP
ajst-14945	22	13	deep	deep	ADJ
ajst-14945	22	14	learning	learning	NOUN
ajst-14945	22	15	technology	technology	NOUN
ajst-14945	22	16	in	in	ADP
ajst-14945	22	17	accurately	accurately	ADV
ajst-14945	22	18	predicting	predict	VERB
ajst-14945	22	19	robot	robot	NOUN
ajst-14945	22	20	positions	position	NOUN
ajst-14945	22	21	in	in	ADP
ajst-14945	22	22	logistics	logistic	NOUN
ajst-14945	22	23	in	in	ADP
ajst-14945	22	24	their	their	PRON
ajst-14945	22	25	study	study	NOUN
ajst-14945	22	26	.	.	PUNCT
ajst-14945	23	1	the	the	DET
ajst-14945	23	2	study	study	NOUN
ajst-14945	23	3	shows	show	VERB
ajst-14945	23	4	that	that	SCONJ
ajst-14945	23	5	the	the	DET
ajst-14945	23	6	positioning	positioning	NOUN
ajst-14945	23	7	accuracy	accuracy	NOUN
ajst-14945	23	8	and	and	CCONJ
ajst-14945	23	9	efficiency	efficiency	NOUN
ajst-14945	23	10	of	of	ADP
ajst-14945	23	11	logistics	logistic	NOUN
ajst-14945	23	12	robots	robot	NOUN
ajst-14945	23	13	can	can	AUX
ajst-14945	23	14	be	be	AUX
ajst-14945	23	15	significantly	significantly	ADV
ajst-14945	23	16	improved	improve	VERB
ajst-14945	23	17	through	through	ADP
ajst-14945	23	18	deep	deep	ADJ
ajst-14945	23	19	learning	learning	NOUN
ajst-14945	23	20	algorithms	algorithm	NOUN
ajst-14945	23	21	.	.	PUNCT
ajst-14945	24	1	this	this	DET
ajst-14945	24	2	study	study	NOUN
ajst-14945	24	3	by	by	ADP
ajst-14945	24	4	chang	chang	PROPN
ajst-14945	24	5	che	che	PROPN
ajst-14945	24	6	and	and	CCONJ
ajst-14945	24	7	colleagues	colleague	NOUN
ajst-14945	24	8	presents	present	VERB
ajst-14945	24	9	a	a	DET
ajst-14945	24	10	groundbreaking	groundbreake	VERB
ajst-14945	24	11	approach	approach	NOUN
ajst-14945	24	12	in	in	ADP
ajst-14945	24	13	logistics	logistic	NOUN
ajst-14945	24	14	using	use	VERB
ajst-14945	24	15	deep	deep	ADJ
ajst-14945	24	16	learning	learning	NOUN
ajst-14945	24	17	for	for	ADP
ajst-14945	24	18	precise	precise	ADJ
ajst-14945	24	19	robot	robot	NOUN
ajst-14945	24	20	position	position	NOUN
ajst-14945	24	21	prediction	prediction	NOUN
ajst-14945	24	22	.	.	PUNCT
ajst-14945	25	1	unlike	unlike	ADP
ajst-14945	25	2	previous	previous	ADJ
ajst-14945	25	3	efforts	effort	NOUN
ajst-14945	25	4	focusing	focus	VERB
ajst-14945	25	5	primarily	primarily	ADV
ajst-14945	25	6	on	on	ADP
ajst-14945	25	7	basic	basic	ADJ
ajst-14945	25	8	navigation	navigation	NOUN
ajst-14945	25	9	tasks	task	NOUN
ajst-14945	25	10	,	,	PUNCT
ajst-14945	25	11	this	this	DET
ajst-14945	25	12	research	research	NOUN
ajst-14945	25	13	explores	explore	VERB
ajst-14945	25	14	complex	complex	ADJ
ajst-14945	25	15	environmental	environmental	ADJ
ajst-14945	25	16	interactions	interaction	NOUN
ajst-14945	25	17	.	.	PUNCT
ajst-14945	26	1	it	it	PRON
ajst-14945	26	2	introduces	introduce	VERB
ajst-14945	26	3	an	an	DET
ajst-14945	26	4	innovative	innovative	ADJ
ajst-14945	26	5	deep	deep	ADJ
ajst-14945	26	6	learning	learning	NOUN
ajst-14945	26	7	framework	framework	NOUN
ajst-14945	26	8	capable	capable	ADJ
ajst-14945	26	9	of	of	ADP
ajst-14945	26	10	accurately	accurately	ADV
ajst-14945	26	11	determining	determine	VERB
ajst-14945	26	12	robotic	robotic	ADJ
ajst-14945	26	13	positions	position	NOUN
ajst-14945	26	14	in	in	ADP
ajst-14945	26	15	dynamic	dynamic	ADJ
ajst-14945	26	16	and	and	CCONJ
ajst-14945	26	17	unpredictable	unpredictable	ADJ
ajst-14945	26	18	logistics	logistic	NOUN
ajst-14945	26	19	environments	environment	NOUN
ajst-14945	26	20	.	.	PUNCT
ajst-14945	27	1	this	this	DET
ajst-14945	27	2	work	work	NOUN
ajst-14945	27	3	represents	represent	VERB
ajst-14945	27	4	a	a	DET
ajst-14945	27	5	significant	significant	ADJ
ajst-14945	27	6	advancement	advancement	NOUN
ajst-14945	27	7	in	in	ADP
ajst-14945	27	8	the	the	DET
ajst-14945	27	9	field	field	NOUN
ajst-14945	27	10	,	,	PUNCT
ajst-14945	27	11	providing	provide	VERB
ajst-14945	27	12	insights	insight	NOUN
ajst-14945	27	13	that	that	PRON
ajst-14945	27	14	extend	extend	VERB
ajst-14945	27	15	well	well	ADV
ajst-14945	27	16	beyond	beyond	ADP
ajst-14945	27	17	traditional	traditional	ADJ
ajst-14945	27	18	robotic	robotic	ADJ
ajst-14945	27	19	navigation	navigation	NOUN
ajst-14945	27	20	strategies	strategy	NOUN
ajst-14945	27	21	.	.	PUNCT
ajst-14945	28	1	the	the	DET
ajst-14945	28	2	research	research	NOUN
ajst-14945	28	3	by	by	ADP
ajst-14945	28	4	hao	hao	PROPN
ajst-14945	28	5	hu	hu	PROPN
ajst-14945	28	6	et	et	PROPN
ajst-14945	28	7	al	al	PROPN
ajst-14945	28	8	.	.	PROPN
ajst-14945	28	9	(	(	PUNCT
ajst-14945	28	10	2023	2023	NUM
ajst-14945	28	11	)	)	PUNCT
ajst-14945	28	12	introduced	introduce	VERB
ajst-14945	28	13	a	a	DET
ajst-14945	28	14	method	method	NOUN
ajst-14945	28	15	for	for	ADP
ajst-14945	28	16	quality	quality	NOUN
ajst-14945	28	17	inspection	inspection	NOUN
ajst-14945	28	18	of	of	ADP
ajst-14945	28	19	casting	cast	VERB
ajst-14945	28	20	product	product	NOUN
ajst-14945	28	21	image	image	NOUN
ajst-14945	28	22	data	datum	NOUN
ajst-14945	28	23	using	use	VERB
ajst-14945	28	24	xception	xception	PROPN
ajst-14945	28	25	model	model	NOUN
ajst-14945	28	26	and	and	CCONJ
ajst-14945	28	27	data	datum	NOUN
ajst-14945	28	28	enhancement	enhancement	NOUN
ajst-14945	28	29	technology	technology	NOUN
ajst-14945	28	30	.	.	PUNCT
ajst-14945	29	1	this	this	PRON
ajst-14945	29	2	shows	show	VERB
ajst-14945	29	3	that	that	PRON
ajst-14945	29	4	ai	ai	VERB
ajst-14945	29	5	technology	technology	NOUN
ajst-14945	29	6	can	can	AUX
ajst-14945	29	7	improve	improve	VERB
ajst-14945	29	8	the	the	DET
ajst-14945	29	9	automation	automation	NOUN
ajst-14945	29	10	and	and	CCONJ
ajst-14945	29	11	accuracy	accuracy	NOUN
ajst-14945	29	12	of	of	ADP
ajst-14945	29	13	manufacturing	manufacturing	NOUN
ajst-14945	29	14	product	product	NOUN
ajst-14945	29	15	quality	quality	NOUN
ajst-14945	29	16	control	control	NOUN
ajst-14945	29	17	.	.	PUNCT
ajst-14945	30	1	tianbo	tianbo	PRON
ajst-14945	30	2	song	song	NOUN
ajst-14945	30	3	et	et	PROPN
ajst-14945	30	4	al	al	PROPN
ajst-14945	30	5	.	.	PROPN
ajst-14945	31	1	(	(	PUNCT
ajst-14945	31	2	2023	2023	NUM
ajst-14945	31	3	)	)	PUNCT
ajst-14945	31	4	explore	explore	VERB
ajst-14945	31	5	bio	bio	ADJ
ajst-14945	31	6	-	-	PUNCT
ajst-14945	31	7	inspired	inspire	VERB
ajst-14945	31	8	swarm	swarm	NOUN
ajst-14945	31	9	intelligence	intelligence	NOUN
ajst-14945	31	10	algorithms	algorithm	NOUN
ajst-14945	31	11	and	and	CCONJ
ajst-14945	31	12	their	their	PRON
ajst-14945	31	13	application	application	NOUN
ajst-14945	31	14	in	in	ADP
ajst-14945	31	15	swarm	swarm	NOUN
ajst-14945	31	16	object	object	NOUN
ajst-14945	31	17	recognition	recognition	NOUN
ajst-14945	31	18	projects	project	NOUN
ajst-14945	31	19	in	in	ADP
ajst-14945	31	20	their	their	PRON
ajst-14945	31	21	paper	paper	NOUN
ajst-14945	31	22	.	.	PUNCT
ajst-14945	32	1	the	the	DET
ajst-14945	32	2	research	research	NOUN
ajst-14945	32	3	highlights	highlight	VERB
ajst-14945	32	4	the	the	DET
ajst-14945	32	5	potential	potential	NOUN
ajst-14945	32	6	of	of	ADP
ajst-14945	32	7	ai	ai	VERB
ajst-14945	32	8	to	to	ADP
ajst-14945	32	9	58	58	NUM
ajst-14945	32	10	simulate	simulate	VERB
ajst-14945	32	11	and	and	CCONJ
ajst-14945	32	12	enhance	enhance	VERB
ajst-14945	32	13	naturally	naturally	ADV
ajst-14945	32	14	intelligent	intelligent	ADJ
ajst-14945	32	15	behavior	behavior	NOUN
ajst-14945	32	16	.	.	PUNCT
ajst-14945	33	1	the	the	DET
ajst-14945	33	2	research	research	NOUN
ajst-14945	33	3	of	of	ADP
ajst-14945	33	4	lin	lin	PROPN
ajst-14945	33	5	q.	q.	PROPN
ajst-14945	33	6	et	et	PROPN
ajst-14945	33	7	al	al	PROPN
ajst-14945	33	8	.	.	PROPN
ajst-14945	33	9	(	(	PUNCT
ajst-14945	33	10	2023	2023	NUM
ajst-14945	33	11	)	)	PUNCT
ajst-14945	33	12	focuses	focus	VERB
ajst-14945	33	13	on	on	ADP
ajst-14945	33	14	the	the	DET
ajst-14945	33	15	detection	detection	NOUN
ajst-14945	33	16	of	of	ADP
ajst-14945	33	17	early	early	ADJ
ajst-14945	33	18	alzheimer	alzheimer	PROPN
ajst-14945	33	19	's	's	PART
ajst-14945	33	20	disease	disease	NOUN
ajst-14945	33	21	on	on	ADP
ajst-14945	33	22	mri	mri	NOUN
ajst-14945	33	23	data	datum	NOUN
ajst-14945	33	24	through	through	ADP
ajst-14945	33	25	advanced	advanced	ADJ
ajst-14945	33	26	machine	machine	NOUN
ajst-14945	33	27	learning	learn	VERB
ajst-14945	33	28	techniques	technique	NOUN
ajst-14945	33	29	.	.	PUNCT
ajst-14945	34	1	this	this	PRON
ajst-14945	34	2	shows	show	VERB
ajst-14945	34	3	that	that	PRON
ajst-14945	34	4	ai	ai	VERB
ajst-14945	34	5	technology	technology	NOUN
ajst-14945	34	6	can	can	AUX
ajst-14945	34	7	play	play	VERB
ajst-14945	34	8	an	an	DET
ajst-14945	34	9	important	important	ADJ
ajst-14945	34	10	role	role	NOUN
ajst-14945	34	11	in	in	ADP
ajst-14945	34	12	early	early	ADJ
ajst-14945	34	13	diagnosis	diagnosis	NOUN
ajst-14945	34	14	and	and	CCONJ
ajst-14945	34	15	treatment	treatment	NOUN
ajst-14945	34	16	of	of	ADP
ajst-14945	34	17	major	major	ADJ
ajst-14945	34	18	diseases	disease	NOUN
ajst-14945	34	19	.	.	PUNCT
ajst-14945	35	1	the	the	DET
ajst-14945	35	2	work	work	NOUN
ajst-14945	35	3	of	of	ADP
ajst-14945	35	4	che	che	PROPN
ajst-14945	35	5	c.	c.	PROPN
ajst-14945	35	6	et	et	PROPN
ajst-14945	35	7	al	al	PROPN
ajst-14945	35	8	.	.	PROPN
ajst-14945	35	9	(	(	PUNCT
ajst-14945	35	10	2023	2023	NUM
ajst-14945	35	11	)	)	PUNCT
ajst-14945	35	12	presents	present	VERB
ajst-14945	35	13	research	research	NOUN
ajst-14945	35	14	on	on	ADP
ajst-14945	35	15	cancer	cancer	NOUN
ajst-14945	35	16	document	document	NOUN
ajst-14945	35	17	classification	classification	NOUN
ajst-14945	35	18	using	use	VERB
ajst-14945	35	19	the	the	DET
ajst-14945	35	20	random	random	ADJ
ajst-14945	35	21	forest	forest	NOUN
ajst-14945	35	22	algorithm	algorithm	NOUN
ajst-14945	35	23	.	.	PUNCT
ajst-14945	36	1	this	this	DET
ajst-14945	36	2	research	research	NOUN
ajst-14945	36	3	demonstrates	demonstrate	VERB
ajst-14945	36	4	the	the	DET
ajst-14945	36	5	capabilities	capability	NOUN
ajst-14945	36	6	of	of	ADP
ajst-14945	36	7	ai	ai	NOUN
ajst-14945	36	8	in	in	ADP
ajst-14945	36	9	processing	process	VERB
ajst-14945	36	10	large	large	ADJ
ajst-14945	36	11	-	-	PUNCT
ajst-14945	36	12	scale	scale	NOUN
ajst-14945	36	13	medical	medical	ADJ
ajst-14945	36	14	text	text	NOUN
ajst-14945	36	15	data	datum	NOUN
ajst-14945	36	16	and	and	CCONJ
ajst-14945	36	17	improving	improve	VERB
ajst-14945	36	18	the	the	DET
ajst-14945	36	19	efficiency	efficiency	NOUN
ajst-14945	36	20	of	of	ADP
ajst-14945	36	21	information	information	NOUN
ajst-14945	36	22	retrieval	retrieval	NOUN
ajst-14945	36	23	.	.	PUNCT
ajst-14945	37	1	mohammed	mohammed	PROPN
ajst-14945	37	2	and	and	CCONJ
ajst-14945	37	3	fiaidh	fiaidh	NOUN
ajst-14945	37	4	(	(	PUNCT
ajst-14945	37	5	2019	2019	NUM
ajst-14945	37	6	)	)	PUNCT
ajst-14945	37	7	in	in	ADP
ajst-14945	37	8	their	their	PRON
ajst-14945	37	9	study	study	NOUN
ajst-14945	37	10	highlighted	highlight	VERB
ajst-14945	37	11	the	the	DET
ajst-14945	37	12	application	application	NOUN
ajst-14945	37	13	of	of	ADP
ajst-14945	37	14	ai	ai	NOUN
ajst-14945	37	15	in	in	ADP
ajst-14945	37	16	medical	medical	ADJ
ajst-14945	37	17	diagnosis	diagnosis	NOUN
ajst-14945	37	18	,	,	PUNCT
ajst-14945	37	19	especially	especially	ADV
ajst-14945	37	20	its	its	PRON
ajst-14945	37	21	role	role	NOUN
ajst-14945	37	22	in	in	ADP
ajst-14945	37	23	cyber	cyber	ADJ
ajst-14945	37	24	-	-	PUNCT
ajst-14945	37	25	physical	physical	ADJ
ajst-14945	37	26	systems	system	NOUN
ajst-14945	37	27	.	.	PUNCT
ajst-14945	38	1	this	this	DET
ajst-14945	38	2	application	application	NOUN
ajst-14945	38	3	of	of	ADP
ajst-14945	38	4	ai	ai	VERB
ajst-14945	38	5	not	not	PART
ajst-14945	38	6	only	only	ADV
ajst-14945	38	7	improves	improve	VERB
ajst-14945	38	8	the	the	DET
ajst-14945	38	9	accuracy	accuracy	NOUN
ajst-14945	38	10	of	of	ADP
ajst-14945	38	11	diagnosis	diagnosis	NOUN
ajst-14945	38	12	,	,	PUNCT
ajst-14945	38	13	but	but	CCONJ
ajst-14945	38	14	also	also	ADV
ajst-14945	38	15	makes	make	VERB
ajst-14945	38	16	medical	medical	ADJ
ajst-14945	38	17	services	service	NOUN
ajst-14945	38	18	more	more	ADV
ajst-14945	38	19	efficient	efficient	ADJ
ajst-14945	38	20	and	and	CCONJ
ajst-14945	38	21	personalized	personalized	ADJ
ajst-14945	38	22	.	.	PUNCT
ajst-14945	39	1	in	in	ADP
ajst-14945	39	2	addition	addition	NOUN
ajst-14945	39	3	,	,	PUNCT
ajst-14945	39	4	yi	yi	PROPN
ajst-14945	39	5	li	li	PROPN
ajst-14945	39	6	et	et	PROPN
ajst-14945	39	7	al	al	PROPN
ajst-14945	39	8	.	.	PROPN
ajst-14945	39	9	(	(	PUNCT
ajst-14945	39	10	2018	2018	NUM
ajst-14945	39	11	)	)	PUNCT
ajst-14945	39	12	explored	explore	VERB
ajst-14945	39	13	the	the	DET
ajst-14945	39	14	application	application	NOUN
ajst-14945	39	15	of	of	ADP
ajst-14945	39	16	ai	ai	NOUN
ajst-14945	39	17	in	in	ADP
ajst-14945	39	18	clinical	clinical	ADJ
ajst-14945	39	19	skills	skill	NOUN
ajst-14945	39	20	training	training	NOUN
ajst-14945	39	21	for	for	ADP
ajst-14945	39	22	medical	medical	ADJ
ajst-14945	39	23	students	student	NOUN
ajst-14945	39	24	,	,	PUNCT
ajst-14945	39	25	pointing	point	VERB
ajst-14945	39	26	out	out	ADP
ajst-14945	39	27	that	that	SCONJ
ajst-14945	39	28	ai	ai	VERB
ajst-14945	39	29	technology	technology	NOUN
ajst-14945	39	30	can	can	AUX
ajst-14945	39	31	improve	improve	VERB
ajst-14945	39	32	teaching	teach	VERB
ajst-14945	39	33	quality	quality	NOUN
ajst-14945	39	34	and	and	CCONJ
ajst-14945	39	35	students	student	NOUN
ajst-14945	39	36	'	'	PART
ajst-14945	39	37	learning	learn	VERB
ajst-14945	39	38	efficiency	efficiency	NOUN
ajst-14945	39	39	.	.	PUNCT
ajst-14945	40	1	in	in	ADP
ajst-14945	40	2	terms	term	NOUN
ajst-14945	40	3	of	of	ADP
ajst-14945	40	4	medical	medical	ADJ
ajst-14945	40	5	equipment	equipment	NOUN
ajst-14945	40	6	management	management	NOUN
ajst-14945	40	7	,	,	PUNCT
ajst-14945	40	8	research	research	NOUN
ajst-14945	40	9	by	by	ADP
ajst-14945	40	10	yu	yu	PROPN
ajst-14945	40	11	et	et	PROPN
ajst-14945	40	12	al	al	PROPN
ajst-14945	40	13	.	.	PROPN
ajst-14945	41	1	(	(	PUNCT
ajst-14945	41	2	2023	2023	NUM
ajst-14945	41	3	)	)	PUNCT
ajst-14945	41	4	shows	show	VERB
ajst-14945	41	5	that	that	SCONJ
ajst-14945	41	6	ai	ai	VERB
ajst-14945	41	7	robots	robot	NOUN
ajst-14945	41	8	can	can	AUX
ajst-14945	41	9	achieve	achieve	VERB
ajst-14945	41	10	precise	precise	ADJ
ajst-14945	41	11	management	management	NOUN
ajst-14945	41	12	of	of	ADP
ajst-14945	41	13	medical	medical	ADJ
ajst-14945	41	14	equipment	equipment	NOUN
ajst-14945	41	15	in	in	ADP
ajst-14945	41	16	the	the	DET
ajst-14945	41	17	context	context	NOUN
ajst-14945	41	18	of	of	ADP
ajst-14945	41	19	the	the	DET
ajst-14945	41	20	internet	internet	NOUN
ajst-14945	41	21	of	of	ADP
ajst-14945	41	22	things	thing	NOUN
ajst-14945	41	23	,	,	PUNCT
ajst-14945	41	24	which	which	PRON
ajst-14945	41	25	is	be	AUX
ajst-14945	41	26	crucial	crucial	ADJ
ajst-14945	41	27	for	for	ADP
ajst-14945	41	28	improving	improve	VERB
ajst-14945	41	29	the	the	DET
ajst-14945	41	30	quality	quality	NOUN
ajst-14945	41	31	and	and	CCONJ
ajst-14945	41	32	safety	safety	NOUN
ajst-14945	41	33	of	of	ADP
ajst-14945	41	34	medical	medical	ADJ
ajst-14945	41	35	services	service	NOUN
ajst-14945	41	36	.	.	PUNCT
ajst-14945	42	1	additionally	additionally	ADV
ajst-14945	42	2	,	,	PUNCT
ajst-14945	42	3	sachdeva	sachdeva	PROPN
ajst-14945	42	4	et	et	PROPN
ajst-14945	42	5	al	al	PROPN
ajst-14945	42	6	(	(	PUNCT
ajst-14945	42	7	2021	2021	NUM
ajst-14945	42	8	)	)	PUNCT
ajst-14945	42	9	explored	explore	VERB
ajst-14945	42	10	the	the	DET
ajst-14945	42	11	application	application	NOUN
ajst-14945	42	12	of	of	ADP
ajst-14945	42	13	ai	ai	NOUN
ajst-14945	42	14	in	in	ADP
ajst-14945	42	15	periodontology	periodontology	NOUN
ajst-14945	42	16	,	,	PUNCT
ajst-14945	42	17	showing	show	VERB
ajst-14945	42	18	how	how	SCONJ
ajst-14945	42	19	ai	ai	AUX
ajst-14945	42	20	can	can	AUX
ajst-14945	42	21	help	help	VERB
ajst-14945	42	22	diagnose	diagnose	VERB
ajst-14945	42	23	and	and	CCONJ
ajst-14945	42	24	treat	treat	VERB
ajst-14945	42	25	periodontal	periodontal	ADJ
ajst-14945	42	26	disease	disease	NOUN
ajst-14945	42	27	.	.	PUNCT
ajst-14945	43	1	birkmeyer	birkmeyer	PROPN
ajst-14945	43	2	(	(	PUNCT
ajst-14945	43	3	2020	2020	NUM
ajst-14945	43	4	)	)	PUNCT
ajst-14945	43	5	predicted	predict	VERB
ajst-14945	43	6	the	the	DET
ajst-14945	43	7	future	future	ADJ
ajst-14945	43	8	development	development	NOUN
ajst-14945	43	9	of	of	ADP
ajst-14945	43	10	ai	ai	NOUN
ajst-14945	43	11	in	in	ADP
ajst-14945	43	12	surgical	surgical	ADJ
ajst-14945	43	13	care	care	NOUN
ajst-14945	43	14	,	,	PUNCT
ajst-14945	43	15	emphasizing	emphasize	VERB
ajst-14945	43	16	the	the	DET
ajst-14945	43	17	potential	potential	ADJ
ajst-14945	43	18	application	application	NOUN
ajst-14945	43	19	of	of	ADP
ajst-14945	43	20	ai	ai	NOUN
ajst-14945	43	21	in	in	ADP
ajst-14945	43	22	surgical	surgical	ADJ
ajst-14945	43	23	procedures	procedure	NOUN
ajst-14945	43	24	,	,	PUNCT
ajst-14945	43	25	such	such	ADJ
ajst-14945	43	26	as	as	ADP
ajst-14945	43	27	assisting	assist	VERB
ajst-14945	43	28	surgical	surgical	ADJ
ajst-14945	43	29	decisionmaking	decisionmaking	NOUN
ajst-14945	43	30	and	and	CCONJ
ajst-14945	43	31	improving	improve	VERB
ajst-14945	43	32	surgical	surgical	ADJ
ajst-14945	43	33	accuracy	accuracy	NOUN
ajst-14945	43	34	.	.	PUNCT
ajst-14945	44	1	in	in	ADP
ajst-14945	44	2	the	the	DET
ajst-14945	44	3	field	field	NOUN
ajst-14945	44	4	of	of	ADP
ajst-14945	44	5	medical	medical	ADJ
ajst-14945	44	6	diagnosis	diagnosis	NOUN
ajst-14945	44	7	,	,	PUNCT
ajst-14945	44	8	edge	edge	NOUN
ajst-14945	44	9	et	et	PROPN
ajst-14945	44	10	al	al	PROPN
ajst-14945	44	11	.	.	PROPN
ajst-14945	45	1	(	(	PUNCT
ajst-14945	45	2	2015	2015	NUM
ajst-14945	45	3	)	)	PUNCT
ajst-14945	45	4	studied	study	VERB
ajst-14945	45	5	the	the	DET
ajst-14945	45	6	application	application	NOUN
ajst-14945	45	7	of	of	ADP
ajst-14945	45	8	faims	faim	NOUN
ajst-14945	45	9	gas	gas	NOUN
ajst-14945	45	10	analysis	analysis	NOUN
ajst-14945	45	11	in	in	ADP
ajst-14945	45	12	medical	medical	ADJ
ajst-14945	45	13	diagnosis	diagnosis	NOUN
ajst-14945	45	14	,	,	PUNCT
ajst-14945	45	15	illustrating	illustrate	VERB
ajst-14945	45	16	the	the	DET
ajst-14945	45	17	potential	potential	NOUN
ajst-14945	45	18	of	of	ADP
ajst-14945	45	19	ai	ai	NOUN
ajst-14945	45	20	in	in	ADP
ajst-14945	45	21	improving	improve	VERB
ajst-14945	45	22	diagnostic	diagnostic	ADJ
ajst-14945	45	23	accuracy	accuracy	NOUN
ajst-14945	45	24	.	.	PUNCT
ajst-14945	46	1	peng	peng	PROPN
ajst-14945	46	2	-	-	PUNCT
ajst-14945	46	3	ran	run	VERB
ajst-14945	46	4	liu	liu	PROPN
ajst-14945	46	5	et	et	PROPN
ajst-14945	46	6	al	al	PROPN
ajst-14945	46	7	.	.	PROPN
ajst-14945	47	1	(	(	PUNCT
ajst-14945	47	2	2021	2021	NUM
ajst-14945	47	3	)	)	PUNCT
ajst-14945	47	4	provide	provide	VERB
ajst-14945	47	5	a	a	DET
ajst-14945	47	6	review	review	NOUN
ajst-14945	47	7	on	on	ADP
ajst-14945	47	8	the	the	DET
ajst-14945	47	9	application	application	NOUN
ajst-14945	47	10	of	of	ADP
ajst-14945	47	11	ai	ai	NOUN
ajst-14945	47	12	in	in	ADP
ajst-14945	47	13	medicine	medicine	NOUN
ajst-14945	47	14	,	,	PUNCT
ajst-14945	47	15	exploring	explore	VERB
ajst-14945	47	16	the	the	DET
ajst-14945	47	17	diverse	diverse	ADJ
ajst-14945	47	18	applications	application	NOUN
ajst-14945	47	19	of	of	ADP
ajst-14945	47	20	ai	ai	VERB
ajst-14945	47	21	in	in	ADP
ajst-14945	47	22	different	different	ADJ
ajst-14945	47	23	medical	medical	ADJ
ajst-14945	47	24	fields	field	NOUN
ajst-14945	47	25	.	.	PUNCT
ajst-14945	48	1	rong	rong	PROPN
ajst-14945	48	2	et	et	PROPN
ajst-14945	48	3	al	al	PROPN
ajst-14945	48	4	.	.	PROPN
ajst-14945	48	5	(	(	PUNCT
ajst-14945	48	6	2020	2020	NUM
ajst-14945	48	7	)	)	PUNCT
ajst-14945	48	8	reviewed	review	VERB
ajst-14945	48	9	the	the	DET
ajst-14945	48	10	application	application	NOUN
ajst-14945	48	11	of	of	ADP
ajst-14945	48	12	ai	ai	NOUN
ajst-14945	48	13	in	in	ADP
ajst-14945	48	14	healthcare	healthcare	NOUN
ajst-14945	48	15	and	and	CCONJ
ajst-14945	48	16	presented	present	VERB
ajst-14945	48	17	several	several	ADJ
ajst-14945	48	18	case	case	NOUN
ajst-14945	48	19	studies	study	NOUN
ajst-14945	48	20	to	to	PART
ajst-14945	48	21	predict	predict	VERB
ajst-14945	48	22	the	the	DET
ajst-14945	48	23	development	development	NOUN
ajst-14945	48	24	trend	trend	NOUN
ajst-14945	48	25	of	of	ADP
ajst-14945	48	26	ai	ai	PRON
ajst-14945	48	27	technology	technology	NOUN
ajst-14945	48	28	in	in	ADP
ajst-14945	48	29	future	future	ADJ
ajst-14945	48	30	healthcare	healthcare	NOUN
ajst-14945	48	31	.	.	PUNCT
ajst-14945	49	1	guan	guan	PROPN
ajst-14945	49	2	(	(	PUNCT
ajst-14945	49	3	2019	2019	NUM
ajst-14945	49	4	)	)	PUNCT
ajst-14945	49	5	discussed	discuss	VERB
ajst-14945	49	6	the	the	DET
ajst-14945	49	7	ethical	ethical	ADJ
ajst-14945	49	8	challenges	challenge	NOUN
ajst-14945	49	9	and	and	CCONJ
ajst-14945	49	10	governance	governance	NOUN
ajst-14945	49	11	issues	issue	NOUN
ajst-14945	49	12	posed	pose	VERB
ajst-14945	49	13	by	by	ADP
ajst-14945	49	14	the	the	DET
ajst-14945	49	15	application	application	NOUN
ajst-14945	49	16	of	of	ADP
ajst-14945	49	17	ai	ai	NOUN
ajst-14945	49	18	in	in	ADP
ajst-14945	49	19	healthcare	healthcare	NOUN
ajst-14945	49	20	,	,	PUNCT
ajst-14945	49	21	pointing	point	VERB
ajst-14945	49	22	out	out	ADP
ajst-14945	49	23	the	the	DET
ajst-14945	49	24	ethical	ethical	ADJ
ajst-14945	49	25	and	and	CCONJ
ajst-14945	49	26	legal	legal	ADJ
ajst-14945	49	27	issues	issue	NOUN
ajst-14945	49	28	that	that	PRON
ajst-14945	49	29	need	need	VERB
ajst-14945	49	30	to	to	PART
ajst-14945	49	31	be	be	AUX
ajst-14945	49	32	considered	consider	VERB
ajst-14945	49	33	when	when	SCONJ
ajst-14945	49	34	promoting	promote	VERB
ajst-14945	49	35	ai	ai	VERB
ajst-14945	49	36	technology	technology	NOUN
ajst-14945	49	37	.	.	PUNCT
ajst-14945	50	1	finally	finally	ADV
ajst-14945	50	2	,	,	PUNCT
ajst-14945	50	3	hogarty	hogarty	NOUN
ajst-14945	50	4	et	et	PROPN
ajst-14945	50	5	al	al	PROPN
ajst-14945	50	6	(	(	PUNCT
ajst-14945	50	7	2018	2018	NUM
ajst-14945	50	8	)	)	PUNCT
ajst-14945	50	9	reviewed	review	VERB
ajst-14945	50	10	the	the	DET
ajst-14945	50	11	application	application	NOUN
ajst-14945	50	12	of	of	ADP
ajst-14945	50	13	ai	ai	NOUN
ajst-14945	50	14	in	in	ADP
ajst-14945	50	15	ophthalmology	ophthalmology	NOUN
ajst-14945	50	16	,	,	PUNCT
ajst-14945	50	17	demonstrating	demonstrate	VERB
ajst-14945	50	18	the	the	DET
ajst-14945	50	19	potential	potential	NOUN
ajst-14945	50	20	of	of	ADP
ajst-14945	50	21	ai	ai	PRON
ajst-14945	50	22	technology	technology	NOUN
ajst-14945	50	23	in	in	ADP
ajst-14945	50	24	ophthalmic	ophthalmic	ADJ
ajst-14945	50	25	diagnosis	diagnosis	NOUN
ajst-14945	50	26	and	and	CCONJ
ajst-14945	50	27	treatment	treatment	NOUN
ajst-14945	50	28	.	.	PUNCT
ajst-14945	51	1	3	3	X
ajst-14945	51	2	.	.	X
ajst-14945	51	3	method	method	NOUN
ajst-14945	51	4	in	in	ADP
ajst-14945	51	5	this	this	DET
ajst-14945	51	6	study	study	NOUN
ajst-14945	51	7	,	,	PUNCT
ajst-14945	51	8	we	we	PRON
ajst-14945	51	9	used	use	VERB
ajst-14945	51	10	a	a	DET
ajst-14945	51	11	series	series	NOUN
ajst-14945	51	12	of	of	ADP
ajst-14945	51	13	meticulous	meticulous	ADJ
ajst-14945	51	14	quantitative	quantitative	ADJ
ajst-14945	51	15	and	and	CCONJ
ajst-14945	51	16	computational	computational	ADJ
ajst-14945	51	17	methods	method	NOUN
ajst-14945	51	18	to	to	PART
ajst-14945	51	19	explore	explore	VERB
ajst-14945	51	20	the	the	DET
ajst-14945	51	21	application	application	NOUN
ajst-14945	51	22	of	of	ADP
ajst-14945	51	23	artificial	artificial	ADJ
ajst-14945	51	24	intelligence	intelligence	NOUN
ajst-14945	51	25	technology	technology	NOUN
ajst-14945	51	26	in	in	ADP
ajst-14945	51	27	medical	medical	ADJ
ajst-14945	51	28	diagnosis	diagnosis	NOUN
ajst-14945	51	29	.	.	PUNCT
ajst-14945	52	1	the	the	DET
ajst-14945	52	2	first	first	ADJ
ajst-14945	52	3	step	step	NOUN
ajst-14945	52	4	in	in	ADP
ajst-14945	52	5	research	research	NOUN
ajst-14945	52	6	is	be	AUX
ajst-14945	52	7	the	the	DET
ajst-14945	52	8	collection	collection	NOUN
ajst-14945	52	9	and	and	CCONJ
ajst-14945	52	10	preparation	preparation	NOUN
ajst-14945	52	11	of	of	ADP
ajst-14945	52	12	data	datum	NOUN
ajst-14945	52	13	.	.	PUNCT
ajst-14945	53	1	to	to	ADP
ajst-14945	53	2	this	this	DET
ajst-14945	53	3	end	end	NOUN
ajst-14945	53	4	,	,	PUNCT
ajst-14945	53	5	we	we	PRON
ajst-14945	53	6	cooperated	cooperate	VERB
ajst-14945	53	7	with	with	ADP
ajst-14945	53	8	a	a	DET
ajst-14945	53	9	number	number	NOUN
ajst-14945	53	10	of	of	ADP
ajst-14945	53	11	medical	medical	ADJ
ajst-14945	53	12	institutions	institution	NOUN
ajst-14945	53	13	and	and	CCONJ
ajst-14945	53	14	obtained	obtain	VERB
ajst-14945	53	15	a	a	DET
ajst-14945	53	16	large	large	ADJ
ajst-14945	53	17	amount	amount	NOUN
ajst-14945	53	18	of	of	ADP
ajst-14945	53	19	medical	medical	ADJ
ajst-14945	53	20	data	datum	NOUN
ajst-14945	53	21	including	include	VERB
ajst-14945	53	22	patients	patient	NOUN
ajst-14945	53	23	'	'	PART
ajst-14945	53	24	clinical	clinical	ADJ
ajst-14945	53	25	records	record	NOUN
ajst-14945	53	26	,	,	PUNCT
ajst-14945	53	27	imaging	imaging	NOUN
ajst-14945	53	28	reports	report	NOUN
ajst-14945	53	29	,	,	PUNCT
ajst-14945	53	30	and	and	CCONJ
ajst-14945	53	31	biochemical	biochemical	ADJ
ajst-14945	53	32	test	test	NOUN
ajst-14945	53	33	results	result	NOUN
ajst-14945	53	34	.	.	PUNCT
ajst-14945	54	1	to	to	PART
ajst-14945	54	2	protect	protect	VERB
ajst-14945	54	3	patient	patient	ADJ
ajst-14945	54	4	privacy	privacy	NOUN
ajst-14945	54	5	,	,	PUNCT
ajst-14945	54	6	all	all	DET
ajst-14945	54	7	data	datum	NOUN
ajst-14945	54	8	collected	collect	VERB
ajst-14945	54	9	is	be	AUX
ajst-14945	54	10	strictly	strictly	ADV
ajst-14945	54	11	de	de	ADJ
ajst-14945	54	12	-	-	VERB
ajst-14945	54	13	identified	identified	ADJ
ajst-14945	54	14	.	.	PUNCT
ajst-14945	55	1	this	this	DET
ajst-14945	55	2	process	process	NOUN
ajst-14945	55	3	includes	include	VERB
ajst-14945	55	4	removing	remove	VERB
ajst-14945	55	5	the	the	DET
ajst-14945	55	6	patient	patient	NOUN
ajst-14945	55	7	's	's	PART
ajst-14945	55	8	name	name	NOUN
ajst-14945	55	9	,	,	PUNCT
ajst-14945	55	10	identification	identification	NOUN
ajst-14945	55	11	number	number	NOUN
ajst-14945	55	12	and	and	CCONJ
ajst-14945	55	13	any	any	DET
ajst-14945	55	14	information	information	NOUN
ajst-14945	55	15	that	that	PRON
ajst-14945	55	16	could	could	AUX
ajst-14945	55	17	be	be	AUX
ajst-14945	55	18	used	use	VERB
ajst-14945	55	19	to	to	PART
ajst-14945	55	20	identify	identify	VERB
ajst-14945	55	21	an	an	DET
ajst-14945	55	22	individual	individual	NOUN
ajst-14945	55	23	.	.	PUNCT
ajst-14945	56	1	in	in	ADP
ajst-14945	56	2	addition	addition	NOUN
ajst-14945	56	3	,	,	PUNCT
ajst-14945	56	4	all	all	DET
ajst-14945	56	5	patients	patient	NOUN
ajst-14945	56	6	participating	participate	VERB
ajst-14945	56	7	in	in	ADP
ajst-14945	56	8	the	the	DET
ajst-14945	56	9	study	study	NOUN
ajst-14945	56	10	provided	provide	VERB
ajst-14945	56	11	informed	informed	ADJ
ajst-14945	56	12	consent	consent	NOUN
ajst-14945	56	13	,	,	PUNCT
ajst-14945	56	14	ensuring	ensure	VERB
ajst-14945	56	15	the	the	DET
ajst-14945	56	16	ethics	ethic	NOUN
ajst-14945	56	17	and	and	CCONJ
ajst-14945	56	18	legality	legality	NOUN
ajst-14945	56	19	of	of	ADP
ajst-14945	56	20	the	the	DET
ajst-14945	56	21	study	study	NOUN
ajst-14945	56	22	.	.	PUNCT
ajst-14945	57	1	during	during	ADP
ajst-14945	57	2	the	the	DET
ajst-14945	57	3	data	data	NOUN
ajst-14945	57	4	preparation	preparation	NOUN
ajst-14945	57	5	phase	phase	NOUN
ajst-14945	57	6	,	,	PUNCT
ajst-14945	57	7	we	we	PRON
ajst-14945	57	8	cleaned	clean	VERB
ajst-14945	57	9	and	and	CCONJ
ajst-14945	57	10	standardized	standardize	VERB
ajst-14945	57	11	the	the	DET
ajst-14945	57	12	raw	raw	ADJ
ajst-14945	57	13	data	datum	NOUN
ajst-14945	57	14	.	.	PUNCT
ajst-14945	58	1	data	datum	NOUN
ajst-14945	58	2	cleaning	cleaning	NOUN
ajst-14945	58	3	involves	involve	VERB
ajst-14945	58	4	removing	remove	VERB
ajst-14945	58	5	or	or	CCONJ
ajst-14945	58	6	correcting	correct	VERB
ajst-14945	58	7	errors	error	NOUN
ajst-14945	58	8	and	and	CCONJ
ajst-14945	58	9	incomplete	incomplete	ADJ
ajst-14945	58	10	records	record	NOUN
ajst-14945	58	11	,	,	PUNCT
ajst-14945	58	12	while	while	SCONJ
ajst-14945	58	13	standardization	standardization	NOUN
ajst-14945	58	14	aims	aim	VERB
ajst-14945	58	15	to	to	PART
ajst-14945	58	16	ensure	ensure	VERB
ajst-14945	58	17	that	that	SCONJ
ajst-14945	58	18	data	datum	NOUN
ajst-14945	58	19	from	from	ADP
ajst-14945	58	20	disparate	disparate	ADJ
ajst-14945	58	21	sources	source	NOUN
ajst-14945	58	22	has	have	VERB
ajst-14945	58	23	consistent	consistent	ADJ
ajst-14945	58	24	formats	format	NOUN
ajst-14945	58	25	and	and	CCONJ
ajst-14945	58	26	metrics	metric	NOUN
ajst-14945	58	27	.	.	PUNCT
ajst-14945	59	1	for	for	ADP
ajst-14945	59	2	example	example	NOUN
ajst-14945	59	3	,	,	PUNCT
ajst-14945	59	4	for	for	ADP
ajst-14945	59	5	imaging	imaging	NOUN
ajst-14945	59	6	data	datum	NOUN
ajst-14945	59	7	,	,	PUNCT
ajst-14945	59	8	we	we	PRON
ajst-14945	59	9	ensure	ensure	VERB
ajst-14945	59	10	that	that	SCONJ
ajst-14945	59	11	all	all	DET
ajst-14945	59	12	images	image	NOUN
ajst-14945	59	13	have	have	VERB
ajst-14945	59	14	uniform	uniform	ADJ
ajst-14945	59	15	resolution	resolution	NOUN
ajst-14945	59	16	and	and	CCONJ
ajst-14945	59	17	contrast	contrast	NOUN
ajst-14945	59	18	standards	standard	NOUN
ajst-14945	59	19	.	.	PUNCT
ajst-14945	60	1	for	for	ADP
ajst-14945	60	2	biochemical	biochemical	ADJ
ajst-14945	60	3	test	test	NOUN
ajst-14945	60	4	results	result	NOUN
ajst-14945	60	5	,	,	PUNCT
ajst-14945	60	6	we	we	PRON
ajst-14945	60	7	have	have	AUX
ajst-14945	60	8	unified	unify	VERB
ajst-14945	60	9	the	the	DET
ajst-14945	60	10	measurement	measurement	NOUN
ajst-14945	60	11	units	unit	NOUN
ajst-14945	60	12	of	of	ADP
ajst-14945	60	13	various	various	ADJ
ajst-14945	60	14	biochemical	biochemical	ADJ
ajst-14945	60	15	indicators	indicator	NOUN
ajst-14945	60	16	to	to	PART
ajst-14945	60	17	facilitate	facilitate	VERB
ajst-14945	60	18	subsequent	subsequent	ADJ
ajst-14945	60	19	analysis	analysis	NOUN
ajst-14945	60	20	.	.	PUNCT
ajst-14945	61	1	after	after	ADP
ajst-14945	61	2	completing	complete	VERB
ajst-14945	61	3	the	the	DET
ajst-14945	61	4	data	data	NOUN
ajst-14945	61	5	preparation	preparation	NOUN
ajst-14945	61	6	work	work	NOUN
ajst-14945	61	7	,	,	PUNCT
ajst-14945	61	8	we	we	PRON
ajst-14945	61	9	started	start	VERB
ajst-14945	61	10	building	build	VERB
ajst-14945	61	11	an	an	DET
ajst-14945	61	12	artificial	artificial	ADJ
ajst-14945	61	13	intelligence	intelligence	NOUN
ajst-14945	61	14	model	model	NOUN
ajst-14945	61	15	suitable	suitable	ADJ
ajst-14945	61	16	for	for	ADP
ajst-14945	61	17	medical	medical	ADJ
ajst-14945	61	18	diagnosis	diagnosis	NOUN
ajst-14945	61	19	.	.	PUNCT
ajst-14945	62	1	this	this	DET
ajst-14945	62	2	process	process	NOUN
ajst-14945	62	3	involves	involve	VERB
ajst-14945	62	4	using	use	VERB
ajst-14945	62	5	machine	machine	NOUN
ajst-14945	62	6	learning	learn	VERB
ajst-14945	62	7	algorithms	algorithm	NOUN
ajst-14945	62	8	to	to	PART
ajst-14945	62	9	analyze	analyze	VERB
ajst-14945	62	10	data	datum	NOUN
ajst-14945	62	11	,	,	PUNCT
ajst-14945	62	12	identify	identify	VERB
ajst-14945	62	13	disease	disease	NOUN
ajst-14945	62	14	patterns	pattern	NOUN
ajst-14945	62	15	,	,	PUNCT
ajst-14945	62	16	and	and	CCONJ
ajst-14945	62	17	predict	predict	VERB
ajst-14945	62	18	disease	disease	NOUN
ajst-14945	62	19	trends	trend	NOUN
ajst-14945	62	20	.	.	PUNCT
ajst-14945	63	1	we	we	PRON
ajst-14945	63	2	focus	focus	VERB
ajst-14945	63	3	specifically	specifically	ADV
ajst-14945	63	4	on	on	ADP
ajst-14945	63	5	model	model	NOUN
ajst-14945	63	6	interpretability	interpretability	NOUN
ajst-14945	63	7	and	and	CCONJ
ajst-14945	63	8	accuracy	accuracy	NOUN
ajst-14945	63	9	,	,	PUNCT
ajst-14945	63	10	ensuring	ensure	VERB
ajst-14945	63	11	that	that	SCONJ
ajst-14945	63	12	the	the	DET
ajst-14945	63	13	model	model	NOUN
ajst-14945	63	14	’s	’s	PART
ajst-14945	63	15	output	output	NOUN
ajst-14945	63	16	is	be	AUX
ajst-14945	63	17	both	both	CCONJ
ajst-14945	63	18	trustworthy	trustworthy	ADJ
ajst-14945	63	19	and	and	CCONJ
ajst-14945	63	20	of	of	ADP
ajst-14945	63	21	practical	practical	ADJ
ajst-14945	63	22	value	value	NOUN
ajst-14945	63	23	to	to	ADP
ajst-14945	63	24	medical	medical	ADJ
ajst-14945	63	25	professionals	professional	NOUN
ajst-14945	63	26	.	.	PUNCT
ajst-14945	64	1	to	to	PART
ajst-14945	64	2	evaluate	evaluate	VERB
ajst-14945	64	3	the	the	DET
ajst-14945	64	4	effectiveness	effectiveness	NOUN
ajst-14945	64	5	of	of	ADP
ajst-14945	64	6	the	the	DET
ajst-14945	64	7	ai	ai	NOUN
ajst-14945	64	8	model	model	NOUN
ajst-14945	64	9	we	we	PRON
ajst-14945	64	10	built	build	VERB
ajst-14945	64	11	,	,	PUNCT
ajst-14945	64	12	we	we	PRON
ajst-14945	64	13	applied	apply	VERB
ajst-14945	64	14	the	the	DET
ajst-14945	64	15	model	model	NOUN
ajst-14945	64	16	to	to	ADP
ajst-14945	64	17	an	an	DET
ajst-14945	64	18	independent	independent	ADJ
ajst-14945	64	19	test	test	NOUN
ajst-14945	64	20	data	datum	NOUN
ajst-14945	64	21	set	set	VERB
ajst-14945	64	22	and	and	CCONJ
ajst-14945	64	23	conducted	conduct	VERB
ajst-14945	64	24	a	a	DET
ajst-14945	64	25	comparative	comparative	ADJ
ajst-14945	64	26	analysis	analysis	NOUN
ajst-14945	64	27	with	with	ADP
ajst-14945	64	28	traditional	traditional	ADJ
ajst-14945	64	29	diagnostic	diagnostic	ADJ
ajst-14945	64	30	methods	method	NOUN
ajst-14945	64	31	.	.	PUNCT
ajst-14945	65	1	by	by	ADP
ajst-14945	65	2	comparing	compare	VERB
ajst-14945	65	3	the	the	DET
ajst-14945	65	4	ai	ai	PROPN
ajst-14945	65	5	model	model	NOUN
ajst-14945	65	6	’s	’s	PART
ajst-14945	65	7	diagnostic	diagnostic	ADJ
ajst-14945	65	8	results	result	NOUN
ajst-14945	65	9	with	with	ADP
ajst-14945	65	10	actual	actual	ADJ
ajst-14945	65	11	clinical	clinical	ADJ
ajst-14945	65	12	diagnosis	diagnosis	NOUN
ajst-14945	65	13	results	result	NOUN
ajst-14945	65	14	,	,	PUNCT
ajst-14945	65	15	we	we	PRON
ajst-14945	65	16	can	can	AUX
ajst-14945	65	17	evaluate	evaluate	VERB
ajst-14945	65	18	the	the	DET
ajst-14945	65	19	ai	ai	NOUN
ajst-14945	65	20	’s	’s	PART
ajst-14945	65	21	performance	performance	NOUN
ajst-14945	65	22	in	in	ADP
ajst-14945	65	23	terms	term	NOUN
ajst-14945	65	24	of	of	ADP
ajst-14945	65	25	accuracy	accuracy	NOUN
ajst-14945	65	26	,	,	PUNCT
ajst-14945	65	27	speed	speed	NOUN
ajst-14945	65	28	,	,	PUNCT
ajst-14945	65	29	and	and	CCONJ
ajst-14945	65	30	consistency	consistency	NOUN
ajst-14945	65	31	.	.	PUNCT
ajst-14945	66	1	in	in	ADP
ajst-14945	66	2	addition	addition	NOUN
ajst-14945	66	3	,	,	PUNCT
ajst-14945	66	4	we	we	PRON
ajst-14945	66	5	also	also	ADV
ajst-14945	66	6	examined	examine	VERB
ajst-14945	66	7	the	the	DET
ajst-14945	66	8	model	model	NOUN
ajst-14945	66	9	's	's	PART
ajst-14945	66	10	generalization	generalization	NOUN
ajst-14945	66	11	ability	ability	NOUN
ajst-14945	66	12	on	on	ADP
ajst-14945	66	13	different	different	ADJ
ajst-14945	66	14	types	type	NOUN
ajst-14945	66	15	of	of	ADP
ajst-14945	66	16	medical	medical	ADJ
ajst-14945	66	17	data	datum	NOUN
ajst-14945	66	18	to	to	PART
ajst-14945	66	19	ensure	ensure	VERB
ajst-14945	66	20	its	its	PRON
ajst-14945	66	21	effectiveness	effectiveness	NOUN
ajst-14945	66	22	and	and	CCONJ
ajst-14945	66	23	reliability	reliability	NOUN
ajst-14945	66	24	in	in	ADP
ajst-14945	66	25	practical	practical	ADJ
ajst-14945	66	26	applications	application	NOUN
ajst-14945	66	27	.	.	PUNCT
ajst-14945	67	1	in	in	ADP
ajst-14945	67	2	this	this	DET
ajst-14945	67	3	study	study	NOUN
ajst-14945	67	4	,	,	PUNCT
ajst-14945	67	5	the	the	DET
ajst-14945	67	6	core	core	NOUN
ajst-14945	67	7	tool	tool	NOUN
ajst-14945	67	8	for	for	ADP
ajst-14945	67	9	data	datum	NOUN
ajst-14945	67	10	analysis	analysis	NOUN
ajst-14945	67	11	is	be	AUX
ajst-14945	67	12	machine	machine	NOUN
ajst-14945	67	13	learning	learn	VERB
ajst-14945	67	14	algorithms	algorithm	NOUN
ajst-14945	67	15	,	,	PUNCT
ajst-14945	67	16	especially	especially	ADV
ajst-14945	67	17	deep	deep	ADJ
ajst-14945	67	18	learning	learning	NOUN
ajst-14945	67	19	models	model	NOUN
ajst-14945	67	20	,	,	PUNCT
ajst-14945	67	21	which	which	PRON
ajst-14945	67	22	have	have	AUX
ajst-14945	67	23	demonstrated	demonstrate	VERB
ajst-14945	67	24	excellent	excellent	ADJ
ajst-14945	67	25	capabilities	capability	NOUN
ajst-14945	67	26	in	in	ADP
ajst-14945	67	27	identifying	identify	VERB
ajst-14945	67	28	and	and	CCONJ
ajst-14945	67	29	predicting	predict	VERB
ajst-14945	67	30	disease	disease	NOUN
ajst-14945	67	31	patterns	pattern	NOUN
ajst-14945	67	32	.	.	PUNCT
ajst-14945	68	1	we	we	PRON
ajst-14945	68	2	chose	choose	VERB
ajst-14945	68	3	convolutional	convolutional	ADJ
ajst-14945	68	4	neural	neural	ADJ
ajst-14945	68	5	networks	network	NOUN
ajst-14945	68	6	(	(	PUNCT
ajst-14945	68	7	cnn	cnn	PROPN
ajst-14945	68	8	)	)	PUNCT
ajst-14945	68	9	,	,	PUNCT
ajst-14945	68	10	a	a	DET
ajst-14945	68	11	deep	deep	ADJ
ajst-14945	68	12	learning	learning	NOUN
ajst-14945	68	13	model	model	NOUN
ajst-14945	68	14	that	that	PRON
ajst-14945	68	15	is	be	AUX
ajst-14945	68	16	particularly	particularly	ADV
ajst-14945	68	17	powerful	powerful	ADJ
ajst-14945	68	18	in	in	ADP
ajst-14945	68	19	the	the	DET
ajst-14945	68	20	field	field	NOUN
ajst-14945	68	21	of	of	ADP
ajst-14945	68	22	image	image	NOUN
ajst-14945	68	23	processing	processing	NOUN
ajst-14945	68	24	,	,	PUNCT
ajst-14945	68	25	to	to	PART
ajst-14945	68	26	analyze	analyze	VERB
ajst-14945	68	27	medical	medical	ADJ
ajst-14945	68	28	imaging	imaging	NOUN
ajst-14945	68	29	data	datum	NOUN
ajst-14945	68	30	.	.	PUNCT
ajst-14945	69	1	a	a	DET
ajst-14945	69	2	convolutional	convolutional	ADJ
ajst-14945	69	3	neural	neural	ADJ
ajst-14945	69	4	network	network	NOUN
ajst-14945	69	5	(	(	PUNCT
ajst-14945	69	6	cnn	cnn	PROPN
ajst-14945	69	7	)	)	PUNCT
ajst-14945	69	8	is	be	AUX
ajst-14945	69	9	a	a	DET
ajst-14945	69	10	type	type	NOUN
ajst-14945	69	11	of	of	ADP
ajst-14945	69	12	neural	neural	ADJ
ajst-14945	69	13	network	network	NOUN
ajst-14945	69	14	specifically	specifically	ADV
ajst-14945	69	15	designed	design	VERB
ajst-14945	69	16	to	to	PART
ajst-14945	69	17	process	process	VERB
ajst-14945	69	18	data	datum	NOUN
ajst-14945	69	19	with	with	ADP
ajst-14945	69	20	an	an	DET
ajst-14945	69	21	imagelike	imagelike	ADJ
ajst-14945	69	22	structure	structure	NOUN
ajst-14945	69	23	.	.	PUNCT
ajst-14945	70	1	they	they	PRON
ajst-14945	70	2	can	can	AUX
ajst-14945	70	3	automatically	automatically	ADV
ajst-14945	70	4	and	and	CCONJ
ajst-14945	70	5	efficiently	efficiently	ADV
ajst-14945	70	6	learn	learn	VERB
ajst-14945	70	7	spatial	spatial	ADJ
ajst-14945	70	8	hierarchies	hierarchy	NOUN
ajst-14945	70	9	to	to	PART
ajst-14945	70	10	identify	identify	VERB
ajst-14945	70	11	complex	complex	ADJ
ajst-14945	70	12	patterns	pattern	NOUN
ajst-14945	70	13	and	and	CCONJ
ajst-14945	70	14	features	feature	NOUN
ajst-14945	70	15	in	in	ADP
ajst-14945	70	16	images	image	NOUN
ajst-14945	70	17	.	.	PUNCT
ajst-14945	71	1	in	in	ADP
ajst-14945	71	2	our	our	PRON
ajst-14945	71	3	research	research	NOUN
ajst-14945	71	4	,	,	PUNCT
ajst-14945	71	5	cnns	cnn	NOUN
ajst-14945	71	6	were	be	AUX
ajst-14945	71	7	used	use	VERB
ajst-14945	71	8	to	to	PART
ajst-14945	71	9	analyze	analyze	VERB
ajst-14945	71	10	various	various	ADJ
ajst-14945	71	11	types	type	NOUN
ajst-14945	71	12	of	of	ADP
ajst-14945	71	13	medical	medical	ADJ
ajst-14945	71	14	images	image	NOUN
ajst-14945	71	15	,	,	PUNCT
ajst-14945	71	16	such	such	ADJ
ajst-14945	71	17	as	as	ADP
ajst-14945	71	18	x	x	NOUN
ajst-14945	71	19	-	-	NOUN
ajst-14945	71	20	rays	ray	NOUN
ajst-14945	71	21	,	,	PUNCT
ajst-14945	71	22	ct	ct	NUM
ajst-14945	71	23	scans	scan	NOUN
ajst-14945	71	24	,	,	PUNCT
ajst-14945	71	25	mri	mri	NOUN
ajst-14945	71	26	,	,	PUNCT
ajst-14945	71	27	and	and	CCONJ
ajst-14945	71	28	ultrasound	ultrasound	NOUN
ajst-14945	71	29	images	image	NOUN
ajst-14945	71	30	.	.	PUNCT
ajst-14945	72	1	one	one	NUM
ajst-14945	72	2	of	of	ADP
ajst-14945	72	3	the	the	DET
ajst-14945	72	4	key	key	ADJ
ajst-14945	72	5	features	feature	NOUN
ajst-14945	72	6	of	of	ADP
ajst-14945	72	7	cnn	cnn	PROPN
ajst-14945	72	8	is	be	AUX
ajst-14945	72	9	its	its	PRON
ajst-14945	72	10	convolutional	convolutional	ADJ
ajst-14945	72	11	layers	layer	NOUN
ajst-14945	72	12	,	,	PUNCT
ajst-14945	72	13	which	which	PRON
ajst-14945	72	14	extract	extract	VERB
ajst-14945	72	15	features	feature	NOUN
ajst-14945	72	16	by	by	ADP
ajst-14945	72	17	performing	perform	VERB
ajst-14945	72	18	a	a	DET
ajst-14945	72	19	convolution	convolution	NOUN
ajst-14945	72	20	operation	operation	NOUN
ajst-14945	72	21	on	on	ADP
ajst-14945	72	22	the	the	DET
ajst-14945	72	23	input	input	NOUN
ajst-14945	72	24	image	image	NOUN
ajst-14945	72	25	(	(	PUNCT
ajst-14945	72	26	i.e.	i.e.	X
ajst-14945	72	27	,	,	PUNCT
ajst-14945	72	28	a	a	DET
ajst-14945	72	29	dot	dot	NOUN
ajst-14945	72	30	product	product	NOUN
ajst-14945	72	31	operation	operation	NOUN
ajst-14945	72	32	between	between	ADP
ajst-14945	72	33	the	the	DET
ajst-14945	72	34	filter	filter	NOUN
ajst-14945	72	35	and	and	CCONJ
ajst-14945	72	36	the	the	DET
ajst-14945	72	37	image	image	NOUN
ajst-14945	72	38	)	)	PUNCT
ajst-14945	72	39	.	.	PUNCT
ajst-14945	73	1	these	these	DET
ajst-14945	73	2	features	feature	NOUN
ajst-14945	73	3	are	be	AUX
ajst-14945	73	4	then	then	ADV
ajst-14945	73	5	passed	pass	VERB
ajst-14945	73	6	to	to	ADP
ajst-14945	73	7	the	the	DET
ajst-14945	73	8	pooling	pool	VERB
ajst-14945	73	9	layer	layer	NOUN
ajst-14945	73	10	to	to	PART
ajst-14945	73	11	reduce	reduce	VERB
ajst-14945	73	12	the	the	DET
ajst-14945	73	13	spatial	spatial	ADJ
ajst-14945	73	14	size	size	NOUN
ajst-14945	73	15	of	of	ADP
ajst-14945	73	16	the	the	DET
ajst-14945	73	17	data	datum	NOUN
ajst-14945	73	18	and	and	CCONJ
ajst-14945	73	19	reduce	reduce	VERB
ajst-14945	73	20	computational	computational	ADJ
ajst-14945	73	21	requirements	requirement	NOUN
ajst-14945	73	22	while	while	SCONJ
ajst-14945	73	23	retaining	retain	VERB
ajst-14945	73	24	important	important	ADJ
ajst-14945	73	25	information	information	NOUN
ajst-14945	73	26	.	.	PUNCT
ajst-14945	74	1	the	the	DET
ajst-14945	74	2	repetition	repetition	NOUN
ajst-14945	74	3	and	and	CCONJ
ajst-14945	74	4	cascading	cascading	NOUN
ajst-14945	74	5	of	of	ADP
ajst-14945	74	6	this	this	DET
ajst-14945	74	7	process	process	NOUN
ajst-14945	74	8	allows	allow	VERB
ajst-14945	74	9	the	the	DET
ajst-14945	74	10	cnn	cnn	PROPN
ajst-14945	74	11	to	to	PART
ajst-14945	74	12	learn	learn	VERB
ajst-14945	74	13	increasingly	increasingly	ADV
ajst-14945	74	14	abstract	abstract	ADJ
ajst-14945	74	15	visual	visual	ADJ
ajst-14945	74	16	features	feature	NOUN
ajst-14945	74	17	from	from	ADP
ajst-14945	74	18	the	the	DET
ajst-14945	74	19	raw	raw	ADJ
ajst-14945	74	20	pixels	pixel	NOUN
ajst-14945	74	21	.	.	PUNCT
ajst-14945	75	1	to	to	PART
ajst-14945	75	2	train	train	VERB
ajst-14945	75	3	the	the	DET
ajst-14945	75	4	cnn	cnn	PROPN
ajst-14945	75	5	model	model	NOUN
ajst-14945	75	6	,	,	PUNCT
ajst-14945	75	7	we	we	PRON
ajst-14945	75	8	first	first	ADV
ajst-14945	75	9	divide	divide	VERB
ajst-14945	75	10	the	the	DET
ajst-14945	75	11	medical	medical	ADJ
ajst-14945	75	12	imaging	imaging	NOUN
ajst-14945	75	13	dataset	dataset	VERB
ajst-14945	75	14	into	into	ADP
ajst-14945	75	15	a	a	DET
ajst-14945	75	16	training	training	NOUN
ajst-14945	75	17	set	set	NOUN
ajst-14945	75	18	and	and	CCONJ
ajst-14945	75	19	a	a	DET
ajst-14945	75	20	test	test	NOUN
ajst-14945	75	21	set	set	NOUN
ajst-14945	75	22	.	.	PUNCT
ajst-14945	76	1	the	the	DET
ajst-14945	76	2	training	training	NOUN
ajst-14945	76	3	set	set	NOUN
ajst-14945	76	4	is	be	AUX
ajst-14945	76	5	used	use	VERB
ajst-14945	76	6	to	to	PART
ajst-14945	76	7	adjust	adjust	VERB
ajst-14945	76	8	the	the	DET
ajst-14945	76	9	parameters	parameter	NOUN
ajst-14945	76	10	of	of	ADP
ajst-14945	76	11	the	the	DET
ajst-14945	76	12	model	model	NOUN
ajst-14945	76	13	so	so	SCONJ
ajst-14945	76	14	that	that	SCONJ
ajst-14945	76	15	it	it	PRON
ajst-14945	76	16	can	can	AUX
ajst-14945	76	17	correctly	correctly	ADV
ajst-14945	76	18	identify	identify	VERB
ajst-14945	76	19	pathological	pathological	ADJ
ajst-14945	76	20	features	feature	NOUN
ajst-14945	76	21	in	in	ADP
ajst-14945	76	22	images	image	NOUN
ajst-14945	76	23	.	.	PUNCT
ajst-14945	77	1	during	during	ADP
ajst-14945	77	2	the	the	DET
ajst-14945	77	3	training	training	NOUN
ajst-14945	77	4	process	process	NOUN
ajst-14945	77	5	,	,	PUNCT
ajst-14945	77	6	we	we	PRON
ajst-14945	77	7	used	use	VERB
ajst-14945	77	8	the	the	DET
ajst-14945	77	9	backpropagation	backpropagation	NOUN
ajst-14945	77	10	algorithm	algorithm	NOUN
ajst-14945	77	11	and	and	CCONJ
ajst-14945	77	12	gradient	gradient	ADJ
ajst-14945	77	13	descent	descent	NOUN
ajst-14945	77	14	strategy	strategy	NOUN
ajst-14945	77	15	to	to	PART
ajst-14945	77	16	minimize	minimize	VERB
ajst-14945	77	17	the	the	DET
ajst-14945	77	18	prediction	prediction	NOUN
ajst-14945	77	19	error	error	NOUN
ajst-14945	77	20	and	and	CCONJ
ajst-14945	77	21	thereby	thereby	ADV
ajst-14945	77	22	optimize	optimize	VERB
ajst-14945	77	23	the	the	DET
ajst-14945	77	24	model	model	NOUN
ajst-14945	77	25	's	's	PART
ajst-14945	77	26	performance	performance	NOUN
ajst-14945	77	27	.	.	PUNCT
ajst-14945	78	1	after	after	SCONJ
ajst-14945	78	2	the	the	DET
ajst-14945	78	3	model	model	NOUN
ajst-14945	78	4	training	training	NOUN
ajst-14945	78	5	is	be	AUX
ajst-14945	78	6	completed	complete	VERB
ajst-14945	78	7	,	,	PUNCT
ajst-14945	78	8	we	we	PRON
ajst-14945	78	9	use	use	VERB
ajst-14945	78	10	an	an	DET
ajst-14945	78	11	independent	independent	ADJ
ajst-14945	78	12	test	test	NOUN
ajst-14945	78	13	set	set	VERB
ajst-14945	78	14	to	to	PART
ajst-14945	78	15	evaluate	evaluate	VERB
ajst-14945	78	16	the	the	DET
ajst-14945	78	17	performance	performance	NOUN
ajst-14945	78	18	of	of	ADP
ajst-14945	78	19	the	the	DET
ajst-14945	78	20	model	model	NOUN
ajst-14945	78	21	.	.	PUNCT
ajst-14945	79	1	this	this	PRON
ajst-14945	79	2	involves	involve	VERB
ajst-14945	79	3	comparing	compare	VERB
ajst-14945	79	4	the	the	DET
ajst-14945	79	5	model	model	NOUN
ajst-14945	79	6	's	's	PART
ajst-14945	79	7	diagnosis	diagnosis	NOUN
ajst-14945	79	8	of	of	ADP
ajst-14945	79	9	a	a	DET
ajst-14945	79	10	test	test	NOUN
ajst-14945	79	11	image	image	NOUN
ajst-14945	79	12	with	with	ADP
ajst-14945	79	13	that	that	PRON
ajst-14945	79	14	of	of	ADP
ajst-14945	79	15	a	a	DET
ajst-14945	79	16	professional	professional	ADJ
ajst-14945	79	17	doctor	doctor	NOUN
ajst-14945	79	18	.	.	PUNCT
ajst-14945	80	1	by	by	ADP
ajst-14945	80	2	calculating	calculate	VERB
ajst-14945	80	3	indicators	indicator	NOUN
ajst-14945	80	4	such	such	ADJ
ajst-14945	80	5	as	as	ADP
ajst-14945	80	6	accuracy	accuracy	NOUN
ajst-14945	80	7	,	,	PUNCT
ajst-14945	80	8	sensitivity	sensitivity	NOUN
ajst-14945	80	9	,	,	PUNCT
ajst-14945	80	10	and	and	CCONJ
ajst-14945	80	11	specificity	specificity	NOUN
ajst-14945	80	12	of	of	ADP
ajst-14945	80	13	the	the	DET
ajst-14945	80	14	model	model	NOUN
ajst-14945	80	15	,	,	PUNCT
ajst-14945	80	16	we	we	PRON
ajst-14945	80	17	are	be	AUX
ajst-14945	80	18	able	able	ADJ
ajst-14945	80	19	to	to	PART
ajst-14945	80	20	quantitatively	quantitatively	ADV
ajst-14945	80	21	evaluate	evaluate	VERB
ajst-14945	80	22	the	the	DET
ajst-14945	80	23	effectiveness	effectiveness	NOUN
ajst-14945	80	24	of	of	ADP
ajst-14945	80	25	cnn	cnn	PROPN
ajst-14945	80	26	in	in	ADP
ajst-14945	80	27	medical	medical	ADJ
ajst-14945	80	28	image	image	NOUN
ajst-14945	80	29	analysis	analysis	NOUN
ajst-14945	80	30	.	.	PUNCT
ajst-14945	81	1	in	in	ADP
ajst-14945	81	2	addition	addition	NOUN
ajst-14945	81	3	,	,	PUNCT
ajst-14945	81	4	we	we	PRON
ajst-14945	81	5	also	also	ADV
ajst-14945	81	6	focus	focus	VERB
ajst-14945	81	7	on	on	ADP
ajst-14945	81	8	the	the	DET
ajst-14945	81	9	interpretability	interpretability	NOUN
ajst-14945	81	10	of	of	ADP
ajst-14945	81	11	the	the	DET
ajst-14945	81	12	model	model	NOUN
ajst-14945	81	13	,	,	PUNCT
ajst-14945	81	14	that	that	ADV
ajst-14945	81	15	is	is	ADV
ajst-14945	81	16	,	,	PUNCT
ajst-14945	81	17	how	how	SCONJ
ajst-14945	81	18	to	to	PART
ajst-14945	81	19	enable	enable	VERB
ajst-14945	81	20	doctors	doctor	NOUN
ajst-14945	81	21	to	to	PART
ajst-14945	81	22	understand	understand	VERB
ajst-14945	81	23	the	the	DET
ajst-14945	81	24	decision	decision	NOUN
ajst-14945	81	25	-	-	PUNCT
ajst-14945	81	26	making	make	VERB
ajst-14945	81	27	process	process	NOUN
ajst-14945	81	28	of	of	ADP
ajst-14945	81	29	the	the	DET
ajst-14945	81	30	model	model	NOUN
ajst-14945	81	31	.	.	PUNCT
ajst-14945	82	1	this	this	PRON
ajst-14945	82	2	is	be	AUX
ajst-14945	82	3	critical	critical	ADJ
ajst-14945	82	4	to	to	ADP
ajst-14945	82	5	building	build	VERB
ajst-14945	82	6	trust	trust	NOUN
ajst-14945	82	7	among	among	ADP
ajst-14945	82	8	medical	medical	ADJ
ajst-14945	82	9	professionals	professional	NOUN
ajst-14945	82	10	in	in	ADP
ajst-14945	82	11	ai	ai	PROPN
ajst-14945	82	12	diagnostics	diagnostic	NOUN
ajst-14945	82	13	.	.	PUNCT
ajst-14945	83	1	we	we	PRON
ajst-14945	83	2	use	use	VERB
ajst-14945	83	3	visualization	visualization	NOUN
ajst-14945	83	4	techniques	technique	NOUN
ajst-14945	83	5	such	such	ADJ
ajst-14945	83	6	as	as	ADP
ajst-14945	83	7	feature	feature	NOUN
ajst-14945	83	8	maps	map	NOUN
ajst-14945	83	9	and	and	CCONJ
ajst-14945	83	10	59	59	NUM
ajst-14945	83	11	activation	activation	NOUN
ajst-14945	83	12	maps	map	NOUN
ajst-14945	83	13	to	to	PART
ajst-14945	83	14	reveal	reveal	VERB
ajst-14945	83	15	how	how	SCONJ
ajst-14945	83	16	cnns	cnn	NOUN
ajst-14945	83	17	recognize	recognize	VERB
ajst-14945	83	18	and	and	CCONJ
ajst-14945	83	19	interpret	interpret	VERB
ajst-14945	83	20	key	key	ADJ
ajst-14945	83	21	features	feature	NOUN
ajst-14945	83	22	in	in	ADP
ajst-14945	83	23	images	image	NOUN
ajst-14945	83	24	.	.	PUNCT
ajst-14945	84	1	in	in	ADP
ajst-14945	84	2	this	this	DET
ajst-14945	84	3	study	study	NOUN
ajst-14945	84	4	,	,	PUNCT
ajst-14945	84	5	the	the	DET
ajst-14945	84	6	core	core	NOUN
ajst-14945	84	7	tool	tool	NOUN
ajst-14945	84	8	for	for	ADP
ajst-14945	84	9	data	datum	NOUN
ajst-14945	84	10	analysis	analysis	NOUN
ajst-14945	84	11	is	be	AUX
ajst-14945	84	12	machine	machine	NOUN
ajst-14945	84	13	learning	learn	VERB
ajst-14945	84	14	algorithms	algorithm	NOUN
ajst-14945	84	15	,	,	PUNCT
ajst-14945	84	16	especially	especially	ADV
ajst-14945	84	17	deep	deep	ADJ
ajst-14945	84	18	learning	learning	NOUN
ajst-14945	84	19	models	model	NOUN
ajst-14945	84	20	,	,	PUNCT
ajst-14945	84	21	which	which	PRON
ajst-14945	84	22	have	have	AUX
ajst-14945	84	23	demonstrated	demonstrate	VERB
ajst-14945	84	24	excellent	excellent	ADJ
ajst-14945	84	25	capabilities	capability	NOUN
ajst-14945	84	26	in	in	ADP
ajst-14945	84	27	identifying	identify	VERB
ajst-14945	84	28	and	and	CCONJ
ajst-14945	84	29	predicting	predict	VERB
ajst-14945	84	30	disease	disease	NOUN
ajst-14945	84	31	patterns	pattern	NOUN
ajst-14945	84	32	.	.	PUNCT
ajst-14945	85	1	we	we	PRON
ajst-14945	85	2	chose	choose	VERB
ajst-14945	85	3	convolutional	convolutional	ADJ
ajst-14945	85	4	neural	neural	ADJ
ajst-14945	85	5	networks	network	NOUN
ajst-14945	85	6	(	(	PUNCT
ajst-14945	85	7	cnn	cnn	PROPN
ajst-14945	85	8	)	)	PUNCT
ajst-14945	85	9	,	,	PUNCT
ajst-14945	85	10	a	a	DET
ajst-14945	85	11	deep	deep	ADJ
ajst-14945	85	12	learning	learning	NOUN
ajst-14945	85	13	model	model	NOUN
ajst-14945	85	14	that	that	PRON
ajst-14945	85	15	is	be	AUX
ajst-14945	85	16	particularly	particularly	ADV
ajst-14945	85	17	powerful	powerful	ADJ
ajst-14945	85	18	in	in	ADP
ajst-14945	85	19	the	the	DET
ajst-14945	85	20	field	field	NOUN
ajst-14945	85	21	of	of	ADP
ajst-14945	85	22	image	image	NOUN
ajst-14945	85	23	processing	processing	NOUN
ajst-14945	85	24	,	,	PUNCT
ajst-14945	85	25	to	to	PART
ajst-14945	85	26	analyze	analyze	VERB
ajst-14945	85	27	medical	medical	ADJ
ajst-14945	85	28	imaging	imaging	NOUN
ajst-14945	85	29	data	datum	NOUN
ajst-14945	85	30	.	.	PUNCT
ajst-14945	86	1	a	a	DET
ajst-14945	86	2	convolutional	convolutional	ADJ
ajst-14945	86	3	neural	neural	ADJ
ajst-14945	86	4	network	network	NOUN
ajst-14945	86	5	(	(	PUNCT
ajst-14945	86	6	cnn	cnn	PROPN
ajst-14945	86	7	)	)	PUNCT
ajst-14945	86	8	is	be	AUX
ajst-14945	86	9	a	a	DET
ajst-14945	86	10	type	type	NOUN
ajst-14945	86	11	of	of	ADP
ajst-14945	86	12	neural	neural	ADJ
ajst-14945	86	13	network	network	NOUN
ajst-14945	86	14	specifically	specifically	ADV
ajst-14945	86	15	designed	design	VERB
ajst-14945	86	16	to	to	PART
ajst-14945	86	17	process	process	VERB
ajst-14945	86	18	data	datum	NOUN
ajst-14945	86	19	with	with	ADP
ajst-14945	86	20	an	an	DET
ajst-14945	86	21	imagelike	imagelike	ADJ
ajst-14945	86	22	structure	structure	NOUN
ajst-14945	86	23	.	.	PUNCT
ajst-14945	87	1	they	they	PRON
ajst-14945	87	2	can	can	AUX
ajst-14945	87	3	automatically	automatically	ADV
ajst-14945	87	4	and	and	CCONJ
ajst-14945	87	5	efficiently	efficiently	ADV
ajst-14945	87	6	learn	learn	VERB
ajst-14945	87	7	spatial	spatial	ADJ
ajst-14945	87	8	hierarchies	hierarchy	NOUN
ajst-14945	87	9	to	to	PART
ajst-14945	87	10	identify	identify	VERB
ajst-14945	87	11	complex	complex	ADJ
ajst-14945	87	12	patterns	pattern	NOUN
ajst-14945	87	13	and	and	CCONJ
ajst-14945	87	14	features	feature	NOUN
ajst-14945	87	15	in	in	ADP
ajst-14945	87	16	images	image	NOUN
ajst-14945	87	17	.	.	PUNCT
ajst-14945	88	1	in	in	ADP
ajst-14945	88	2	our	our	PRON
ajst-14945	88	3	research	research	NOUN
ajst-14945	88	4	,	,	PUNCT
ajst-14945	88	5	cnns	cnn	NOUN
ajst-14945	88	6	were	be	AUX
ajst-14945	88	7	used	use	VERB
ajst-14945	88	8	to	to	PART
ajst-14945	88	9	analyze	analyze	VERB
ajst-14945	88	10	various	various	ADJ
ajst-14945	88	11	types	type	NOUN
ajst-14945	88	12	of	of	ADP
ajst-14945	88	13	medical	medical	ADJ
ajst-14945	88	14	images	image	NOUN
ajst-14945	88	15	,	,	PUNCT
ajst-14945	88	16	such	such	ADJ
ajst-14945	88	17	as	as	ADP
ajst-14945	88	18	x	x	NOUN
ajst-14945	88	19	-	-	NOUN
ajst-14945	88	20	rays	ray	NOUN
ajst-14945	88	21	,	,	PUNCT
ajst-14945	88	22	ct	ct	NUM
ajst-14945	88	23	scans	scan	NOUN
ajst-14945	88	24	,	,	PUNCT
ajst-14945	88	25	mri	mri	NOUN
ajst-14945	88	26	,	,	PUNCT
ajst-14945	88	27	and	and	CCONJ
ajst-14945	88	28	ultrasound	ultrasound	NOUN
ajst-14945	88	29	images	image	NOUN
ajst-14945	88	30	.	.	PUNCT
ajst-14945	89	1	figure	figure	NOUN
ajst-14945	89	2	1	1	NUM
ajst-14945	89	3	.	.	PUNCT
ajst-14945	89	4	cnn	cnn	PROPN
ajst-14945	89	5	network	network	NOUN
ajst-14945	89	6	structure	structure	NOUN
ajst-14945	89	7	one	one	NUM
ajst-14945	89	8	of	of	ADP
ajst-14945	89	9	the	the	DET
ajst-14945	89	10	key	key	ADJ
ajst-14945	89	11	features	feature	NOUN
ajst-14945	89	12	of	of	ADP
ajst-14945	89	13	cnn	cnn	PROPN
ajst-14945	89	14	is	be	AUX
ajst-14945	89	15	its	its	PRON
ajst-14945	89	16	convolutional	convolutional	ADJ
ajst-14945	89	17	layers	layer	NOUN
ajst-14945	89	18	,	,	PUNCT
ajst-14945	89	19	which	which	PRON
ajst-14945	89	20	extract	extract	VERB
ajst-14945	89	21	features	feature	NOUN
ajst-14945	89	22	by	by	ADP
ajst-14945	89	23	performing	perform	VERB
ajst-14945	89	24	a	a	DET
ajst-14945	89	25	convolution	convolution	NOUN
ajst-14945	89	26	operation	operation	NOUN
ajst-14945	89	27	on	on	ADP
ajst-14945	89	28	the	the	DET
ajst-14945	89	29	input	input	NOUN
ajst-14945	89	30	image	image	NOUN
ajst-14945	89	31	(	(	PUNCT
ajst-14945	89	32	i.e.	i.e.	X
ajst-14945	89	33	,	,	PUNCT
ajst-14945	89	34	a	a	DET
ajst-14945	89	35	dot	dot	NOUN
ajst-14945	89	36	product	product	NOUN
ajst-14945	89	37	operation	operation	NOUN
ajst-14945	89	38	between	between	ADP
ajst-14945	89	39	the	the	DET
ajst-14945	89	40	filter	filter	NOUN
ajst-14945	89	41	and	and	CCONJ
ajst-14945	89	42	the	the	DET
ajst-14945	89	43	image	image	NOUN
ajst-14945	89	44	)	)	PUNCT
ajst-14945	89	45	.	.	PUNCT
ajst-14945	90	1	these	these	DET
ajst-14945	90	2	features	feature	NOUN
ajst-14945	90	3	are	be	AUX
ajst-14945	90	4	then	then	ADV
ajst-14945	90	5	passed	pass	VERB
ajst-14945	90	6	to	to	ADP
ajst-14945	90	7	the	the	DET
ajst-14945	90	8	pooling	pool	VERB
ajst-14945	90	9	layer	layer	NOUN
ajst-14945	90	10	to	to	PART
ajst-14945	90	11	reduce	reduce	VERB
ajst-14945	90	12	the	the	DET
ajst-14945	90	13	spatial	spatial	ADJ
ajst-14945	90	14	size	size	NOUN
ajst-14945	90	15	of	of	ADP
ajst-14945	90	16	the	the	DET
ajst-14945	90	17	data	datum	NOUN
ajst-14945	90	18	and	and	CCONJ
ajst-14945	90	19	reduce	reduce	VERB
ajst-14945	90	20	computational	computational	ADJ
ajst-14945	90	21	requirements	requirement	NOUN
ajst-14945	90	22	while	while	SCONJ
ajst-14945	90	23	retaining	retain	VERB
ajst-14945	90	24	important	important	ADJ
ajst-14945	90	25	information	information	NOUN
ajst-14945	90	26	.	.	PUNCT
ajst-14945	91	1	the	the	DET
ajst-14945	91	2	repetition	repetition	NOUN
ajst-14945	91	3	and	and	CCONJ
ajst-14945	91	4	cascading	cascading	NOUN
ajst-14945	91	5	of	of	ADP
ajst-14945	91	6	this	this	DET
ajst-14945	91	7	process	process	NOUN
ajst-14945	91	8	allows	allow	VERB
ajst-14945	91	9	the	the	DET
ajst-14945	91	10	cnn	cnn	PROPN
ajst-14945	91	11	to	to	PART
ajst-14945	91	12	learn	learn	VERB
ajst-14945	91	13	increasingly	increasingly	ADV
ajst-14945	91	14	abstract	abstract	ADJ
ajst-14945	91	15	visual	visual	ADJ
ajst-14945	91	16	features	feature	NOUN
ajst-14945	91	17	from	from	ADP
ajst-14945	91	18	the	the	DET
ajst-14945	91	19	raw	raw	ADJ
ajst-14945	91	20	pixels	pixel	NOUN
ajst-14945	91	21	.	.	PUNCT
ajst-14945	92	1	to	to	PART
ajst-14945	92	2	train	train	VERB
ajst-14945	92	3	the	the	DET
ajst-14945	92	4	cnn	cnn	PROPN
ajst-14945	92	5	model	model	NOUN
ajst-14945	92	6	,	,	PUNCT
ajst-14945	92	7	we	we	PRON
ajst-14945	92	8	first	first	ADV
ajst-14945	92	9	divide	divide	VERB
ajst-14945	92	10	the	the	DET
ajst-14945	92	11	medical	medical	ADJ
ajst-14945	92	12	imaging	imaging	NOUN
ajst-14945	92	13	dataset	dataset	VERB
ajst-14945	92	14	into	into	ADP
ajst-14945	92	15	a	a	DET
ajst-14945	92	16	training	training	NOUN
ajst-14945	92	17	set	set	NOUN
ajst-14945	92	18	and	and	CCONJ
ajst-14945	92	19	a	a	DET
ajst-14945	92	20	test	test	NOUN
ajst-14945	92	21	set	set	NOUN
ajst-14945	92	22	.	.	PUNCT
ajst-14945	93	1	the	the	DET
ajst-14945	93	2	training	training	NOUN
ajst-14945	93	3	set	set	NOUN
ajst-14945	93	4	is	be	AUX
ajst-14945	93	5	used	use	VERB
ajst-14945	93	6	to	to	PART
ajst-14945	93	7	adjust	adjust	VERB
ajst-14945	93	8	the	the	DET
ajst-14945	93	9	parameters	parameter	NOUN
ajst-14945	93	10	of	of	ADP
ajst-14945	93	11	the	the	DET
ajst-14945	93	12	model	model	NOUN
ajst-14945	93	13	so	so	SCONJ
ajst-14945	93	14	that	that	SCONJ
ajst-14945	93	15	it	it	PRON
ajst-14945	93	16	can	can	AUX
ajst-14945	93	17	correctly	correctly	ADV
ajst-14945	93	18	identify	identify	VERB
ajst-14945	93	19	pathological	pathological	ADJ
ajst-14945	93	20	features	feature	NOUN
ajst-14945	93	21	in	in	ADP
ajst-14945	93	22	images	image	NOUN
ajst-14945	93	23	.	.	PUNCT
ajst-14945	94	1	during	during	ADP
ajst-14945	94	2	the	the	DET
ajst-14945	94	3	training	training	NOUN
ajst-14945	94	4	process	process	NOUN
ajst-14945	94	5	,	,	PUNCT
ajst-14945	94	6	we	we	PRON
ajst-14945	94	7	used	use	VERB
ajst-14945	94	8	the	the	DET
ajst-14945	94	9	backpropagation	backpropagation	NOUN
ajst-14945	94	10	algorithm	algorithm	NOUN
ajst-14945	94	11	and	and	CCONJ
ajst-14945	94	12	gradient	gradient	ADJ
ajst-14945	94	13	descent	descent	NOUN
ajst-14945	94	14	strategy	strategy	NOUN
ajst-14945	94	15	to	to	PART
ajst-14945	94	16	minimize	minimize	VERB
ajst-14945	94	17	the	the	DET
ajst-14945	94	18	prediction	prediction	NOUN
ajst-14945	94	19	error	error	NOUN
ajst-14945	94	20	and	and	CCONJ
ajst-14945	94	21	thereby	thereby	ADV
ajst-14945	94	22	optimize	optimize	VERB
ajst-14945	94	23	the	the	DET
ajst-14945	94	24	model	model	NOUN
ajst-14945	94	25	's	's	PART
ajst-14945	94	26	performance	performance	NOUN
ajst-14945	94	27	.	.	PUNCT
ajst-14945	95	1	after	after	SCONJ
ajst-14945	95	2	the	the	DET
ajst-14945	95	3	model	model	NOUN
ajst-14945	95	4	training	training	NOUN
ajst-14945	95	5	is	be	AUX
ajst-14945	95	6	completed	complete	VERB
ajst-14945	95	7	,	,	PUNCT
ajst-14945	95	8	we	we	PRON
ajst-14945	95	9	use	use	VERB
ajst-14945	95	10	an	an	DET
ajst-14945	95	11	independent	independent	ADJ
ajst-14945	95	12	test	test	NOUN
ajst-14945	95	13	set	set	VERB
ajst-14945	95	14	to	to	PART
ajst-14945	95	15	evaluate	evaluate	VERB
ajst-14945	95	16	the	the	DET
ajst-14945	95	17	performance	performance	NOUN
ajst-14945	95	18	of	of	ADP
ajst-14945	95	19	the	the	DET
ajst-14945	95	20	model	model	NOUN
ajst-14945	95	21	.	.	PUNCT
ajst-14945	96	1	this	this	PRON
ajst-14945	96	2	involves	involve	VERB
ajst-14945	96	3	comparing	compare	VERB
ajst-14945	96	4	the	the	DET
ajst-14945	96	5	model	model	NOUN
ajst-14945	96	6	's	's	PART
ajst-14945	96	7	diagnosis	diagnosis	NOUN
ajst-14945	96	8	of	of	ADP
ajst-14945	96	9	a	a	DET
ajst-14945	96	10	test	test	NOUN
ajst-14945	96	11	image	image	NOUN
ajst-14945	96	12	with	with	ADP
ajst-14945	96	13	that	that	PRON
ajst-14945	96	14	of	of	ADP
ajst-14945	96	15	a	a	DET
ajst-14945	96	16	professional	professional	ADJ
ajst-14945	96	17	doctor	doctor	NOUN
ajst-14945	96	18	.	.	PUNCT
ajst-14945	97	1	by	by	ADP
ajst-14945	97	2	calculating	calculate	VERB
ajst-14945	97	3	indicators	indicator	NOUN
ajst-14945	97	4	such	such	ADJ
ajst-14945	97	5	as	as	ADP
ajst-14945	97	6	accuracy	accuracy	NOUN
ajst-14945	97	7	,	,	PUNCT
ajst-14945	97	8	sensitivity	sensitivity	NOUN
ajst-14945	97	9	,	,	PUNCT
ajst-14945	97	10	and	and	CCONJ
ajst-14945	97	11	specificity	specificity	NOUN
ajst-14945	97	12	of	of	ADP
ajst-14945	97	13	the	the	DET
ajst-14945	97	14	model	model	NOUN
ajst-14945	97	15	,	,	PUNCT
ajst-14945	97	16	we	we	PRON
ajst-14945	97	17	are	be	AUX
ajst-14945	97	18	able	able	ADJ
ajst-14945	97	19	to	to	PART
ajst-14945	97	20	quantitatively	quantitatively	ADV
ajst-14945	97	21	evaluate	evaluate	VERB
ajst-14945	97	22	the	the	DET
ajst-14945	97	23	effectiveness	effectiveness	NOUN
ajst-14945	97	24	of	of	ADP
ajst-14945	97	25	cnn	cnn	PROPN
ajst-14945	97	26	in	in	ADP
ajst-14945	97	27	medical	medical	ADJ
ajst-14945	97	28	image	image	NOUN
ajst-14945	97	29	analysis	analysis	NOUN
ajst-14945	97	30	.	.	PUNCT
ajst-14945	98	1	in	in	ADP
ajst-14945	98	2	addition	addition	NOUN
ajst-14945	98	3	,	,	PUNCT
ajst-14945	98	4	we	we	PRON
ajst-14945	98	5	also	also	ADV
ajst-14945	98	6	focus	focus	VERB
ajst-14945	98	7	on	on	ADP
ajst-14945	98	8	the	the	DET
ajst-14945	98	9	interpretability	interpretability	NOUN
ajst-14945	98	10	of	of	ADP
ajst-14945	98	11	the	the	DET
ajst-14945	98	12	model	model	NOUN
ajst-14945	98	13	,	,	PUNCT
ajst-14945	98	14	that	that	ADV
ajst-14945	98	15	is	is	ADV
ajst-14945	98	16	,	,	PUNCT
ajst-14945	98	17	how	how	SCONJ
ajst-14945	98	18	to	to	PART
ajst-14945	98	19	enable	enable	VERB
ajst-14945	98	20	doctors	doctor	NOUN
ajst-14945	98	21	to	to	PART
ajst-14945	98	22	understand	understand	VERB
ajst-14945	98	23	the	the	DET
ajst-14945	98	24	decision	decision	NOUN
ajst-14945	98	25	-	-	PUNCT
ajst-14945	98	26	making	make	VERB
ajst-14945	98	27	process	process	NOUN
ajst-14945	98	28	of	of	ADP
ajst-14945	98	29	the	the	DET
ajst-14945	98	30	model	model	NOUN
ajst-14945	98	31	.	.	PUNCT
ajst-14945	99	1	this	this	PRON
ajst-14945	99	2	is	be	AUX
ajst-14945	99	3	critical	critical	ADJ
ajst-14945	99	4	to	to	ADP
ajst-14945	99	5	building	build	VERB
ajst-14945	99	6	trust	trust	NOUN
ajst-14945	99	7	among	among	ADP
ajst-14945	99	8	medical	medical	ADJ
ajst-14945	99	9	professionals	professional	NOUN
ajst-14945	99	10	in	in	ADP
ajst-14945	99	11	ai	ai	PROPN
ajst-14945	99	12	diagnostics	diagnostic	NOUN
ajst-14945	99	13	.	.	PUNCT
ajst-14945	100	1	we	we	PRON
ajst-14945	100	2	use	use	VERB
ajst-14945	100	3	visualization	visualization	NOUN
ajst-14945	100	4	techniques	technique	NOUN
ajst-14945	100	5	such	such	ADJ
ajst-14945	100	6	as	as	ADP
ajst-14945	100	7	feature	feature	NOUN
ajst-14945	100	8	maps	map	NOUN
ajst-14945	100	9	and	and	CCONJ
ajst-14945	100	10	activation	activation	NOUN
ajst-14945	100	11	maps	map	NOUN
ajst-14945	100	12	to	to	PART
ajst-14945	100	13	reveal	reveal	VERB
ajst-14945	100	14	how	how	SCONJ
ajst-14945	100	15	cnns	cnn	NOUN
ajst-14945	100	16	recognize	recognize	VERB
ajst-14945	100	17	and	and	CCONJ
ajst-14945	100	18	interpret	interpret	VERB
ajst-14945	100	19	key	key	ADJ
ajst-14945	100	20	features	feature	NOUN
ajst-14945	100	21	in	in	ADP
ajst-14945	100	22	images	image	NOUN
ajst-14945	100	23	.	.	PUNCT
ajst-14945	101	1	the	the	DET
ajst-14945	101	2	main	main	ADJ
ajst-14945	101	3	tools	tool	NOUN
ajst-14945	101	4	for	for	ADP
ajst-14945	101	5	data	datum	NOUN
ajst-14945	101	6	analysis	analysis	NOUN
ajst-14945	101	7	are	be	AUX
ajst-14945	101	8	machine	machine	NOUN
ajst-14945	101	9	learning	learn	VERB
ajst-14945	101	10	algorithms	algorithm	NOUN
ajst-14945	101	11	,	,	PUNCT
ajst-14945	101	12	especially	especially	ADV
ajst-14945	101	13	deep	deep	ADJ
ajst-14945	101	14	learning	learning	NOUN
ajst-14945	101	15	models	model	NOUN
ajst-14945	101	16	,	,	PUNCT
ajst-14945	101	17	used	use	VERB
ajst-14945	101	18	to	to	PART
ajst-14945	101	19	identify	identify	VERB
ajst-14945	101	20	and	and	CCONJ
ajst-14945	101	21	predict	predict	VERB
ajst-14945	101	22	disease	disease	NOUN
ajst-14945	101	23	patterns	pattern	NOUN
ajst-14945	101	24	.	.	PUNCT
ajst-14945	102	1	we	we	PRON
ajst-14945	102	2	used	use	VERB
ajst-14945	102	3	a	a	DET
ajst-14945	102	4	convolutional	convolutional	ADJ
ajst-14945	102	5	neural	neural	ADJ
ajst-14945	102	6	network	network	NOUN
ajst-14945	102	7	(	(	PUNCT
ajst-14945	102	8	cnn	cnn	PROPN
ajst-14945	102	9	)	)	PUNCT
ajst-14945	102	10	to	to	PART
ajst-14945	102	11	analyze	analyze	VERB
ajst-14945	102	12	medical	medical	ADJ
ajst-14945	102	13	imaging	imaging	NOUN
ajst-14945	102	14	data	datum	NOUN
ajst-14945	102	15	.	.	PUNCT
ajst-14945	103	1	the	the	DET
ajst-14945	103	2	basic	basic	ADJ
ajst-14945	103	3	formula	formula	NOUN
ajst-14945	103	4	of	of	ADP
ajst-14945	103	5	the	the	DET
ajst-14945	103	6	network	network	NOUN
ajst-14945	103	7	is	be	AUX
ajst-14945	103	8	:	:	PUNCT
ajst-14945	103	9	f	f	PROPN
ajst-14945	103	10	x	x	SYM
ajst-14945	103	11	max	max	PROPN
ajst-14945	103	12	0	0	NUM
ajst-14945	103	13	,	,	PUNCT
ajst-14945	103	14	x	x	X
ajst-14945	103	15	∙	∙	PROPN
ajst-14945	103	16	w	w	PROPN
ajst-14945	103	17	b	b	PROPN
ajst-14945	103	18	(	(	PUNCT
ajst-14945	103	19	1	1	NUM
ajst-14945	103	20	)	)	PUNCT
ajst-14945	103	21	where	where	SCONJ
ajst-14945	103	22	x	x	PRON
ajst-14945	103	23	represents	represent	VERB
ajst-14945	103	24	the	the	DET
ajst-14945	103	25	input	input	NOUN
ajst-14945	103	26	data	datum	NOUN
ajst-14945	103	27	,	,	PUNCT
ajst-14945	103	28	w	w	PROPN
ajst-14945	103	29	represents	represent	VERB
ajst-14945	103	30	the	the	DET
ajst-14945	103	31	weight	weight	NOUN
ajst-14945	103	32	,	,	PUNCT
ajst-14945	103	33	b	b	PROPN
ajst-14945	103	34	represents	represent	VERB
ajst-14945	103	35	the	the	DET
ajst-14945	103	36	bias	bias	NOUN
ajst-14945	103	37	,	,	PUNCT
ajst-14945	103	38	and	and	CCONJ
ajst-14945	103	39	f(x	f(x	PROPN
ajst-14945	103	40	)	)	PUNCT
ajst-14945	103	41	represents	represent	VERB
ajst-14945	103	42	the	the	DET
ajst-14945	103	43	output	output	NOUN
ajst-14945	103	44	of	of	ADP
ajst-14945	103	45	the	the	DET
ajst-14945	103	46	activation	activation	NOUN
ajst-14945	103	47	function	function	NOUN
ajst-14945	103	48	.	.	PUNCT
ajst-14945	104	1	cnns	cnns	PROPN
ajst-14945	104	2	identify	identify	VERB
ajst-14945	104	3	complex	complex	ADJ
ajst-14945	104	4	patterns	pattern	NOUN
ajst-14945	104	5	in	in	ADP
ajst-14945	104	6	images	image	NOUN
ajst-14945	104	7	by	by	ADP
ajst-14945	104	8	applying	apply	VERB
ajst-14945	104	9	this	this	DET
ajst-14945	104	10	formula	formula	NOUN
ajst-14945	104	11	at	at	ADP
ajst-14945	104	12	multiple	multiple	ADJ
ajst-14945	104	13	levels	level	NOUN
ajst-14945	104	14	.	.	PUNCT
ajst-14945	105	1	in	in	ADP
ajst-14945	105	2	addition	addition	NOUN
ajst-14945	105	3	,	,	PUNCT
ajst-14945	105	4	we	we	PRON
ajst-14945	105	5	also	also	ADV
ajst-14945	105	6	used	use	VERB
ajst-14945	105	7	logistic	logistic	ADJ
ajst-14945	105	8	regression	regression	NOUN
ajst-14945	105	9	models	model	NOUN
ajst-14945	105	10	to	to	PART
ajst-14945	105	11	analyze	analyze	VERB
ajst-14945	105	12	clinical	clinical	ADJ
ajst-14945	105	13	data	datum	NOUN
ajst-14945	105	14	and	and	CCONJ
ajst-14945	105	15	predict	predict	VERB
ajst-14945	105	16	disease	disease	NOUN
ajst-14945	105	17	development	development	NOUN
ajst-14945	105	18	trends	trend	NOUN
ajst-14945	105	19	.	.	PUNCT
ajst-14945	106	1	the	the	DET
ajst-14945	106	2	formula	formula	NOUN
ajst-14945	106	3	for	for	ADP
ajst-14945	106	4	logistic	logistic	ADJ
ajst-14945	106	5	regression	regression	NOUN
ajst-14945	106	6	is	be	AUX
ajst-14945	106	7	:	:	PUNCT
ajst-14945	106	8	p(y=1)=	p(y=1)=	X
ajst-14945	106	9	(	(	PUNCT
ajst-14945	106	10	2	2	X
ajst-14945	106	11	)	)	PUNCT
ajst-14945	106	12	in	in	ADP
ajst-14945	106	13	this	this	DET
ajst-14945	106	14	formula	formula	NOUN
ajst-14945	106	15	,	,	PUNCT
ajst-14945	106	16	p(y=1	p(y=1	PROPN
ajst-14945	106	17	)	)	PUNCT
ajst-14945	106	18	is	be	AUX
ajst-14945	106	19	the	the	DET
ajst-14945	106	20	probability	probability	NOUN
ajst-14945	106	21	of	of	ADP
ajst-14945	106	22	the	the	DET
ajst-14945	106	23	event	event	NOUN
ajst-14945	106	24	occurring	occur	VERB
ajst-14945	106	25	,	,	PUNCT
ajst-14945	106	26	x	x	X
ajst-14945	106	27	is	be	AUX
ajst-14945	106	28	the	the	DET
ajst-14945	106	29	independent	independent	ADJ
ajst-14945	106	30	variable	variable	NOUN
ajst-14945	106	31	,	,	PUNCT
ajst-14945	106	32	a	a	PRON
ajst-14945	106	33	and	and	CCONJ
ajst-14945	106	34	b	b	NOUN
ajst-14945	106	35	are	be	AUX
ajst-14945	106	36	model	model	NOUN
ajst-14945	106	37	parameters	parameter	NOUN
ajst-14945	106	38	,	,	PUNCT
ajst-14945	106	39	and	and	CCONJ
ajst-14945	106	40	e	e	NOUN
ajst-14945	106	41	is	be	AUX
ajst-14945	106	42	the	the	DET
ajst-14945	106	43	base	base	NOUN
ajst-14945	106	44	of	of	ADP
ajst-14945	106	45	the	the	DET
ajst-14945	106	46	natural	natural	ADJ
ajst-14945	106	47	logarithm	logarithm	NOUN
ajst-14945	106	48	.	.	PUNCT
ajst-14945	107	1	during	during	ADP
ajst-14945	107	2	the	the	DET
ajst-14945	107	3	data	datum	NOUN
ajst-14945	107	4	analysis	analysis	NOUN
ajst-14945	107	5	process	process	NOUN
ajst-14945	107	6	,	,	PUNCT
ajst-14945	107	7	we	we	PRON
ajst-14945	107	8	also	also	ADV
ajst-14945	107	9	paid	pay	VERB
ajst-14945	107	10	special	special	ADJ
ajst-14945	107	11	attention	attention	NOUN
ajst-14945	107	12	to	to	ADP
ajst-14945	107	13	the	the	DET
ajst-14945	107	14	interpretability	interpretability	NOUN
ajst-14945	107	15	of	of	ADP
ajst-14945	107	16	the	the	DET
ajst-14945	107	17	algorithm	algorithm	NOUN
ajst-14945	107	18	to	to	PART
ajst-14945	107	19	ensure	ensure	VERB
ajst-14945	107	20	that	that	SCONJ
ajst-14945	107	21	medical	medical	ADJ
ajst-14945	107	22	professionals	professional	NOUN
ajst-14945	107	23	can	can	AUX
ajst-14945	107	24	understand	understand	VERB
ajst-14945	107	25	and	and	CCONJ
ajst-14945	107	26	trust	trust	VERB
ajst-14945	107	27	the	the	DET
ajst-14945	107	28	ai	ai	NOUN
ajst-14945	107	29	's	's	PART
ajst-14945	107	30	diagnostic	diagnostic	ADJ
ajst-14945	107	31	results	result	NOUN
ajst-14945	107	32	.	.	PUNCT
ajst-14945	108	1	furthermore	furthermore	ADV
ajst-14945	108	2	,	,	PUNCT
ajst-14945	108	3	all	all	DET
ajst-14945	108	4	machine	machine	NOUN
ajst-14945	108	5	learning	learning	NOUN
ajst-14945	108	6	models	model	NOUN
ajst-14945	108	7	were	be	AUX
ajst-14945	108	8	tested	test	VERB
ajst-14945	108	9	on	on	ADP
ajst-14945	108	10	independent	independent	ADJ
ajst-14945	108	11	validation	validation	NOUN
ajst-14945	108	12	datasets	dataset	NOUN
ajst-14945	108	13	to	to	PART
ajst-14945	108	14	evaluate	evaluate	VERB
ajst-14945	108	15	their	their	PRON
ajst-14945	108	16	accuracy	accuracy	NOUN
ajst-14945	108	17	and	and	CCONJ
ajst-14945	108	18	generalization	generalization	NOUN
ajst-14945	108	19	capabilities	capability	NOUN
ajst-14945	108	20	.	.	PUNCT
ajst-14945	109	1	in	in	ADP
ajst-14945	109	2	our	our	PRON
ajst-14945	109	3	research	research	NOUN
ajst-14945	109	4	,	,	PUNCT
ajst-14945	109	5	special	special	ADJ
ajst-14945	109	6	attention	attention	NOUN
ajst-14945	109	7	is	be	AUX
ajst-14945	109	8	given	give	VERB
ajst-14945	109	9	to	to	ADP
ajst-14945	109	10	the	the	DET
ajst-14945	109	11	interpretability	interpretability	NOUN
ajst-14945	109	12	of	of	ADP
ajst-14945	109	13	machine	machine	NOUN
ajst-14945	109	14	learning	learn	VERB
ajst-14945	109	15	algorithms	algorithm	NOUN
ajst-14945	109	16	.	.	PUNCT
ajst-14945	110	1	interpretability	interpretability	NOUN
ajst-14945	110	2	means	mean	VERB
ajst-14945	110	3	that	that	SCONJ
ajst-14945	110	4	the	the	DET
ajst-14945	110	5	decision	decision	NOUN
ajst-14945	110	6	-	-	PUNCT
ajst-14945	110	7	making	make	VERB
ajst-14945	110	8	process	process	NOUN
ajst-14945	110	9	and	and	CCONJ
ajst-14945	110	10	results	result	NOUN
ajst-14945	110	11	of	of	ADP
ajst-14945	110	12	the	the	DET
ajst-14945	110	13	algorithm	algorithm	NOUN
ajst-14945	110	14	are	be	AUX
ajst-14945	110	15	transparent	transparent	ADJ
ajst-14945	110	16	and	and	CCONJ
ajst-14945	110	17	understandable	understandable	ADJ
ajst-14945	110	18	to	to	ADP
ajst-14945	110	19	users	user	NOUN
ajst-14945	110	20	,	,	PUNCT
ajst-14945	110	21	which	which	PRON
ajst-14945	110	22	is	be	AUX
ajst-14945	110	23	particularly	particularly	ADV
ajst-14945	110	24	important	important	ADJ
ajst-14945	110	25	in	in	ADP
ajst-14945	110	26	the	the	DET
ajst-14945	110	27	field	field	NOUN
ajst-14945	110	28	of	of	ADP
ajst-14945	110	29	medical	medical	ADJ
ajst-14945	110	30	diagnosis	diagnosis	NOUN
ajst-14945	110	31	.	.	PUNCT
ajst-14945	111	1	to	to	PART
ajst-14945	111	2	achieve	achieve	VERB
ajst-14945	111	3	this	this	DET
ajst-14945	111	4	goal	goal	NOUN
ajst-14945	111	5	,	,	PUNCT
ajst-14945	111	6	we	we	PRON
ajst-14945	111	7	employ	employ	VERB
ajst-14945	111	8	a	a	DET
ajst-14945	111	9	variety	variety	NOUN
ajst-14945	111	10	of	of	ADP
ajst-14945	111	11	methods	method	NOUN
ajst-14945	111	12	to	to	PART
ajst-14945	111	13	improve	improve	VERB
ajst-14945	111	14	and	and	CCONJ
ajst-14945	111	15	evaluate	evaluate	VERB
ajst-14945	111	16	the	the	DET
ajst-14945	111	17	interpretability	interpretability	NOUN
ajst-14945	111	18	of	of	ADP
ajst-14945	111	19	our	our	PRON
ajst-14945	111	20	ai	ai	NOUN
ajst-14945	111	21	models	model	NOUN
ajst-14945	111	22	.	.	PUNCT
ajst-14945	112	1	first	first	ADV
ajst-14945	112	2	,	,	PUNCT
ajst-14945	112	3	we	we	PRON
ajst-14945	112	4	introduce	introduce	VERB
ajst-14945	112	5	feature	feature	NOUN
ajst-14945	112	6	visualization	visualization	NOUN
ajst-14945	112	7	techniques	technique	NOUN
ajst-14945	112	8	that	that	PRON
ajst-14945	112	9	reveal	reveal	VERB
ajst-14945	112	10	how	how	SCONJ
ajst-14945	112	11	algorithms	algorithm	NOUN
ajst-14945	112	12	extract	extract	VERB
ajst-14945	112	13	and	and	CCONJ
ajst-14945	112	14	use	use	VERB
ajst-14945	112	15	information	information	NOUN
ajst-14945	112	16	from	from	ADP
ajst-14945	112	17	medical	medical	ADJ
ajst-14945	112	18	images	image	NOUN
ajst-14945	112	19	.	.	PUNCT
ajst-14945	113	1	for	for	ADP
ajst-14945	113	2	example	example	NOUN
ajst-14945	113	3	,	,	PUNCT
ajst-14945	113	4	we	we	PRON
ajst-14945	113	5	use	use	VERB
ajst-14945	113	6	heatmaps	heatmap	NOUN
ajst-14945	113	7	and	and	CCONJ
ajst-14945	113	8	activation	activation	NOUN
ajst-14945	113	9	maps	map	NOUN
ajst-14945	113	10	to	to	PART
ajst-14945	113	11	show	show	VERB
ajst-14945	113	12	where	where	SCONJ
ajst-14945	113	13	convolutional	convolutional	ADJ
ajst-14945	113	14	neural	neural	ADJ
ajst-14945	113	15	networks	network	NOUN
ajst-14945	113	16	(	(	PUNCT
ajst-14945	113	17	cnns	cnns	PROPN
ajst-14945	113	18	)	)	PUNCT
ajst-14945	113	19	are	be	AUX
ajst-14945	113	20	most	most	ADV
ajst-14945	113	21	active	active	ADJ
ajst-14945	113	22	in	in	ADP
ajst-14945	113	23	identifying	identify	VERB
ajst-14945	113	24	specific	specific	ADJ
ajst-14945	113	25	pathological	pathological	ADJ
ajst-14945	113	26	features	feature	NOUN
ajst-14945	113	27	.	.	PUNCT
ajst-14945	114	1	this	this	PRON
ajst-14945	114	2	not	not	PART
ajst-14945	114	3	only	only	ADV
ajst-14945	114	4	helps	help	VERB
ajst-14945	114	5	doctors	doctor	NOUN
ajst-14945	114	6	understand	understand	VERB
ajst-14945	114	7	the	the	DET
ajst-14945	114	8	ai	ai	NOUN
ajst-14945	114	9	’s	’s	ADV
ajst-14945	114	10	decisionmaking	decisionmake	VERB
ajst-14945	114	11	process	process	NOUN
ajst-14945	114	12	,	,	PUNCT
ajst-14945	114	13	but	but	CCONJ
ajst-14945	114	14	also	also	ADV
ajst-14945	114	15	provides	provide	VERB
ajst-14945	114	16	additional	additional	ADJ
ajst-14945	114	17	visual	visual	ADJ
ajst-14945	114	18	evidence	evidence	NOUN
ajst-14945	114	19	for	for	ADP
ajst-14945	114	20	their	their	PRON
ajst-14945	114	21	clinical	clinical	ADJ
ajst-14945	114	22	judgment	judgment	NOUN
ajst-14945	114	23	.	.	PUNCT
ajst-14945	115	1	second	second	ADJ
ajst-14945	115	2	,	,	PUNCT
ajst-14945	115	3	we	we	PRON
ajst-14945	115	4	employ	employ	VERB
ajst-14945	115	5	model	model	NOUN
ajst-14945	115	6	interpretability	interpretability	NOUN
ajst-14945	115	7	tools	tool	NOUN
ajst-14945	115	8	such	such	ADJ
ajst-14945	115	9	as	as	ADP
ajst-14945	115	10	lime	lime	NOUN
ajst-14945	115	11	(	(	PUNCT
ajst-14945	115	12	local	local	ADJ
ajst-14945	115	13	interpretable	interpretable	ADJ
ajst-14945	115	14	models	model	NOUN
ajst-14945	115	15	explanations	explanation	NOUN
ajst-14945	115	16	of	of	ADP
ajst-14945	115	17	opaque	opaque	ADJ
ajst-14945	115	18	predictions	prediction	NOUN
ajst-14945	115	19	)	)	PUNCT
ajst-14945	115	20	and	and	CCONJ
ajst-14945	115	21	shap	shap	PROPN
ajst-14945	115	22	(	(	PUNCT
ajst-14945	115	23	shapley	shapley	ADJ
ajst-14945	115	24	additive	additive	ADJ
ajst-14945	115	25	explanations	explanation	NOUN
ajst-14945	115	26	)	)	PUNCT
ajst-14945	115	27	,	,	PUNCT
ajst-14945	115	28	which	which	PRON
ajst-14945	115	29	are	be	AUX
ajst-14945	115	30	able	able	ADJ
ajst-14945	115	31	to	to	PART
ajst-14945	115	32	explain	explain	VERB
ajst-14945	115	33	individual	individual	ADJ
ajst-14945	115	34	prediction	prediction	NOUN
ajst-14945	115	35	results	result	NOUN
ajst-14945	115	36	of	of	ADP
ajst-14945	115	37	complex	complex	ADJ
ajst-14945	115	38	models	model	NOUN
ajst-14945	115	39	.	.	PUNCT
ajst-14945	116	1	through	through	ADP
ajst-14945	116	2	these	these	DET
ajst-14945	116	3	tools	tool	NOUN
ajst-14945	116	4	,	,	PUNCT
ajst-14945	116	5	we	we	PRON
ajst-14945	116	6	are	be	AUX
ajst-14945	116	7	able	able	ADJ
ajst-14945	116	8	to	to	PART
ajst-14945	116	9	show	show	VERB
ajst-14945	116	10	medical	medical	ADJ
ajst-14945	116	11	professionals	professional	NOUN
ajst-14945	116	12	which	which	PRON
ajst-14945	116	13	features	feature	VERB
ajst-14945	116	14	are	be	AUX
ajst-14945	116	15	decisive	decisive	ADJ
ajst-14945	116	16	for	for	ADP
ajst-14945	116	17	a	a	DET
ajst-14945	116	18	specific	specific	ADJ
ajst-14945	116	19	prediction	prediction	NOUN
ajst-14945	116	20	of	of	ADP
ajst-14945	116	21	the	the	DET
ajst-14945	116	22	model	model	NOUN
ajst-14945	116	23	.	.	PUNCT
ajst-14945	117	1	to	to	PART
ajst-14945	117	2	ensure	ensure	VERB
ajst-14945	117	3	that	that	SCONJ
ajst-14945	117	4	the	the	DET
ajst-14945	117	5	developed	develop	VERB
ajst-14945	117	6	ai	ai	NOUN
ajst-14945	117	7	models	model	NOUN
ajst-14945	117	8	are	be	AUX
ajst-14945	117	9	not	not	PART
ajst-14945	117	10	only	only	ADV
ajst-14945	117	11	theoretically	theoretically	ADV
ajst-14945	117	12	valid	valid	ADJ
ajst-14945	117	13	but	but	CCONJ
ajst-14945	117	14	also	also	ADV
ajst-14945	117	15	work	work	VERB
ajst-14945	117	16	reliably	reliably	ADV
ajst-14945	117	17	in	in	ADP
ajst-14945	117	18	actual	actual	ADJ
ajst-14945	117	19	clinical	clinical	ADJ
ajst-14945	117	20	settings	setting	NOUN
ajst-14945	117	21	,	,	PUNCT
ajst-14945	117	22	all	all	DET
ajst-14945	117	23	machine	machine	NOUN
ajst-14945	117	24	learning	learning	NOUN
ajst-14945	117	25	models	model	NOUN
ajst-14945	117	26	are	be	AUX
ajst-14945	117	27	rigorously	rigorously	ADV
ajst-14945	117	28	tested	test	VERB
ajst-14945	117	29	on	on	ADP
ajst-14945	117	30	independent	independent	ADJ
ajst-14945	117	31	validation	validation	NOUN
ajst-14945	117	32	datasets	dataset	NOUN
ajst-14945	117	33	.	.	PUNCT
ajst-14945	118	1	these	these	DET
ajst-14945	118	2	datasets	dataset	NOUN
ajst-14945	118	3	are	be	AUX
ajst-14945	118	4	randomly	randomly	ADV
ajst-14945	118	5	selected	select	VERB
ajst-14945	118	6	from	from	ADP
ajst-14945	118	7	our	our	PRON
ajst-14945	118	8	original	original	ADJ
ajst-14945	118	9	dataset	dataset	NOUN
ajst-14945	118	10	and	and	CCONJ
ajst-14945	118	11	are	be	AUX
ajst-14945	118	12	completely	completely	ADV
ajst-14945	118	13	different	different	ADJ
ajst-14945	118	14	from	from	ADP
ajst-14945	118	15	the	the	DET
ajst-14945	118	16	training	training	NOUN
ajst-14945	118	17	dataset	dataset	NOUN
ajst-14945	118	18	to	to	PART
ajst-14945	118	19	ensure	ensure	VERB
ajst-14945	118	20	fairness	fairness	NOUN
ajst-14945	118	21	and	and	CCONJ
ajst-14945	118	22	accuracy	accuracy	NOUN
ajst-14945	118	23	of	of	ADP
ajst-14945	118	24	testing	testing	NOUN
ajst-14945	118	25	.	.	PUNCT
ajst-14945	119	1	we	we	PRON
ajst-14945	119	2	evaluated	evaluate	VERB
ajst-14945	119	3	the	the	DET
ajst-14945	119	4	model	model	NOUN
ajst-14945	119	5	's	's	PART
ajst-14945	119	6	accuracy	accuracy	NOUN
ajst-14945	119	7	,	,	PUNCT
ajst-14945	119	8	sensitivity	sensitivity	NOUN
ajst-14945	119	9	,	,	PUNCT
ajst-14945	119	10	specificity	specificity	NOUN
ajst-14945	119	11	,	,	PUNCT
ajst-14945	119	12	and	and	CCONJ
ajst-14945	119	13	other	other	ADJ
ajst-14945	119	14	relevant	relevant	ADJ
ajst-14945	119	15	metrics	metric	NOUN
ajst-14945	119	16	to	to	PART
ajst-14945	119	17	quantify	quantify	VERB
ajst-14945	119	18	its	its	PRON
ajst-14945	119	19	performance	performance	NOUN
ajst-14945	119	20	and	and	CCONJ
ajst-14945	119	21	generalization	generalization	NOUN
ajst-14945	119	22	ability	ability	NOUN
ajst-14945	119	23	.	.	PUNCT
ajst-14945	120	1	through	through	ADP
ajst-14945	120	2	these	these	DET
ajst-14945	120	3	integrated	integrate	VERB
ajst-14945	120	4	approaches	approach	NOUN
ajst-14945	120	5	,	,	PUNCT
ajst-14945	120	6	we	we	PRON
ajst-14945	120	7	aim	aim	VERB
ajst-14945	120	8	to	to	PART
ajst-14945	120	9	gain	gain	VERB
ajst-14945	120	10	a	a	DET
ajst-14945	120	11	deeper	deep	ADJ
ajst-14945	120	12	understanding	understanding	NOUN
ajst-14945	120	13	of	of	ADP
ajst-14945	120	14	ai	ai	PROPN
ajst-14945	120	15	's	's	PART
ajst-14945	120	16	potential	potential	NOUN
ajst-14945	120	17	to	to	PART
ajst-14945	120	18	improve	improve	VERB
ajst-14945	120	19	the	the	DET
ajst-14945	120	20	accuracy	accuracy	NOUN
ajst-14945	120	21	and	and	CCONJ
ajst-14945	120	22	efficiency	efficiency	NOUN
ajst-14945	120	23	of	of	ADP
ajst-14945	120	24	medical	medical	ADJ
ajst-14945	120	25	diagnosis	diagnosis	NOUN
ajst-14945	120	26	.	.	PUNCT
ajst-14945	121	1	in	in	ADP
ajst-14945	121	2	addition	addition	NOUN
ajst-14945	121	3	,	,	PUNCT
ajst-14945	121	4	we	we	PRON
ajst-14945	121	5	also	also	ADV
ajst-14945	121	6	pay	pay	VERB
ajst-14945	121	7	attention	attention	NOUN
ajst-14945	121	8	to	to	ADP
ajst-14945	121	9	the	the	DET
ajst-14945	121	10	challenges	challenge	NOUN
ajst-14945	121	11	that	that	PRON
ajst-14945	121	12	ai	ai	VERB
ajst-14945	121	13	technology	technology	NOUN
ajst-14945	121	14	may	may	AUX
ajst-14945	121	15	face	face	VERB
ajst-14945	121	16	in	in	ADP
ajst-14945	121	17	real	real	ADJ
ajst-14945	121	18	-	-	PUNCT
ajst-14945	121	19	world	world	NOUN
ajst-14945	121	20	applications	application	NOUN
ajst-14945	121	21	,	,	PUNCT
ajst-14945	121	22	such	such	ADJ
ajst-14945	121	23	as	as	ADP
ajst-14945	121	24	the	the	DET
ajst-14945	121	25	diversity	diversity	NOUN
ajst-14945	121	26	and	and	CCONJ
ajst-14945	121	27	complexity	complexity	NOUN
ajst-14945	121	28	of	of	ADP
ajst-14945	121	29	data	datum	NOUN
ajst-14945	121	30	,	,	PUNCT
ajst-14945	121	31	the	the	DET
ajst-14945	121	32	specific	specific	ADJ
ajst-14945	121	33	needs	need	NOUN
ajst-14945	121	34	of	of	ADP
ajst-14945	121	35	different	different	ADJ
ajst-14945	121	36	diseases	disease	NOUN
ajst-14945	121	37	and	and	CCONJ
ajst-14945	121	38	patient	patient	ADJ
ajst-14945	121	39	groups	group	NOUN
ajst-14945	121	40	,	,	PUNCT
ajst-14945	121	41	and	and	CCONJ
ajst-14945	121	42	the	the	DET
ajst-14945	121	43	ethical	ethical	ADJ
ajst-14945	121	44	and	and	CCONJ
ajst-14945	121	45	legal	legal	ADJ
ajst-14945	121	46	considerations	consideration	NOUN
ajst-14945	121	47	of	of	ADP
ajst-14945	121	48	technology	technology	NOUN
ajst-14945	121	49	implementation	implementation	NOUN
ajst-14945	121	50	.	.	PUNCT
ajst-14945	122	1	through	through	ADP
ajst-14945	122	2	this	this	DET
ajst-14945	122	3	research	research	NOUN
ajst-14945	122	4	,	,	PUNCT
ajst-14945	122	5	we	we	PRON
ajst-14945	122	6	hope	hope	VERB
ajst-14945	122	7	to	to	PART
ajst-14945	122	8	provide	provide	VERB
ajst-14945	122	9	valuable	valuable	ADJ
ajst-14945	122	10	insights	insight	NOUN
ajst-14945	122	11	and	and	CCONJ
ajst-14945	122	12	suggestions	suggestion	NOUN
ajst-14945	122	13	for	for	ADP
ajst-14945	122	14	future	future	ADJ
ajst-14945	122	15	applications	application	NOUN
ajst-14945	122	16	of	of	ADP
ajst-14945	122	17	ai	ai	NOUN
ajst-14945	122	18	in	in	ADP
ajst-14945	122	19	medical	medical	ADJ
ajst-14945	122	20	diagnosis	diagnosis	NOUN
ajst-14945	122	21	.	.	PUNCT
ajst-14945	123	1	60	60	NUM
ajst-14945	123	2	4	4	NUM
ajst-14945	123	3	.	.	PUNCT
ajst-14945	123	4	result	result	VERB
ajst-14945	123	5	in	in	ADP
ajst-14945	123	6	the	the	DET
ajst-14945	123	7	comparison	comparison	NOUN
ajst-14945	123	8	of	of	ADP
ajst-14945	123	9	model	model	NOUN
ajst-14945	123	10	performance	performance	NOUN
ajst-14945	123	11	,	,	PUNCT
ajst-14945	123	12	we	we	PRON
ajst-14945	123	13	focused	focus	VERB
ajst-14945	123	14	on	on	ADP
ajst-14945	123	15	the	the	DET
ajst-14945	123	16	performance	performance	NOUN
ajst-14945	123	17	of	of	ADP
ajst-14945	123	18	cnn	cnn	PROPN
ajst-14945	123	19	models	model	NOUN
ajst-14945	123	20	when	when	SCONJ
ajst-14945	123	21	processing	process	VERB
ajst-14945	123	22	different	different	ADJ
ajst-14945	123	23	types	type	NOUN
ajst-14945	123	24	of	of	ADP
ajst-14945	123	25	medical	medical	ADJ
ajst-14945	123	26	images	image	NOUN
ajst-14945	123	27	,	,	PUNCT
ajst-14945	123	28	such	such	ADJ
ajst-14945	123	29	as	as	ADP
ajst-14945	123	30	x	x	NOUN
ajst-14945	123	31	-	-	NOUN
ajst-14945	123	32	rays	ray	NOUN
ajst-14945	123	33	,	,	PUNCT
ajst-14945	123	34	ct	ct	NUM
ajst-14945	123	35	scans	scan	NOUN
ajst-14945	123	36	,	,	PUNCT
ajst-14945	123	37	mri	mri	NOUN
ajst-14945	123	38	,	,	PUNCT
ajst-14945	123	39	and	and	CCONJ
ajst-14945	123	40	ultrasound	ultrasound	NOUN
ajst-14945	123	41	images	image	NOUN
ajst-14945	123	42	.	.	PUNCT
ajst-14945	124	1	we	we	PRON
ajst-14945	124	2	evaluated	evaluate	VERB
ajst-14945	124	3	the	the	DET
ajst-14945	124	4	model	model	NOUN
ajst-14945	124	5	's	's	PART
ajst-14945	124	6	performance	performance	NOUN
ajst-14945	124	7	on	on	ADP
ajst-14945	124	8	several	several	ADJ
ajst-14945	124	9	key	key	ADJ
ajst-14945	124	10	performance	performance	NOUN
ajst-14945	124	11	metrics	metric	NOUN
ajst-14945	124	12	:	:	PUNCT
ajst-14945	124	13	accuracy	accuracy	NOUN
ajst-14945	124	14	,	,	PUNCT
ajst-14945	124	15	sensitivity	sensitivity	NOUN
ajst-14945	124	16	,	,	PUNCT
ajst-14945	124	17	and	and	CCONJ
ajst-14945	124	18	specificity	specificity	NOUN
ajst-14945	124	19	.	.	PUNCT
ajst-14945	125	1	accuracy	accuracy	NOUN
ajst-14945	125	2	represents	represent	VERB
ajst-14945	125	3	the	the	DET
ajst-14945	125	4	proportion	proportion	NOUN
ajst-14945	125	5	of	of	ADP
ajst-14945	125	6	correct	correct	ADJ
ajst-14945	125	7	diagnoses	diagnosis	NOUN
ajst-14945	125	8	by	by	ADP
ajst-14945	125	9	the	the	DET
ajst-14945	125	10	model	model	NOUN
ajst-14945	125	11	,	,	PUNCT
ajst-14945	125	12	sensitivity	sensitivity	NOUN
ajst-14945	125	13	refers	refer	VERB
ajst-14945	125	14	to	to	ADP
ajst-14945	125	15	the	the	DET
ajst-14945	125	16	model	model	NOUN
ajst-14945	125	17	's	's	PART
ajst-14945	125	18	ability	ability	NOUN
ajst-14945	125	19	to	to	PART
ajst-14945	125	20	correctly	correctly	ADV
ajst-14945	125	21	identify	identify	VERB
ajst-14945	125	22	cases	case	NOUN
ajst-14945	125	23	,	,	PUNCT
ajst-14945	125	24	and	and	CCONJ
ajst-14945	125	25	specificity	specificity	NOUN
ajst-14945	125	26	refers	refer	VERB
ajst-14945	125	27	to	to	ADP
ajst-14945	125	28	the	the	DET
ajst-14945	125	29	model	model	NOUN
ajst-14945	125	30	's	's	PART
ajst-14945	125	31	ability	ability	NOUN
ajst-14945	125	32	to	to	PART
ajst-14945	125	33	correctly	correctly	ADV
ajst-14945	125	34	identify	identify	VERB
ajst-14945	125	35	non	non	NOUN
ajst-14945	125	36	-	-	NOUN
ajst-14945	125	37	cases	case	NOUN
ajst-14945	125	38	.	.	PUNCT
ajst-14945	126	1	for	for	ADP
ajst-14945	126	2	example	example	NOUN
ajst-14945	126	3	,	,	PUNCT
ajst-14945	126	4	when	when	SCONJ
ajst-14945	126	5	processing	process	VERB
ajst-14945	126	6	x	x	NOUN
ajst-14945	126	7	-	-	NOUN
ajst-14945	126	8	ray	ray	NOUN
ajst-14945	126	9	images	image	NOUN
ajst-14945	126	10	,	,	PUNCT
ajst-14945	126	11	we	we	PRON
ajst-14945	126	12	found	find	VERB
ajst-14945	126	13	that	that	SCONJ
ajst-14945	126	14	the	the	DET
ajst-14945	126	15	accuracy	accuracy	NOUN
ajst-14945	126	16	of	of	ADP
ajst-14945	126	17	the	the	DET
ajst-14945	126	18	cnn	cnn	PROPN
ajst-14945	126	19	model	model	NOUN
ajst-14945	126	20	was	be	AUX
ajst-14945	126	21	as	as	ADV
ajst-14945	126	22	high	high	ADJ
ajst-14945	126	23	as	as	ADP
ajst-14945	126	24	94	94	NUM
ajst-14945	126	25	%	%	NOUN
ajst-14945	126	26	,	,	PUNCT
ajst-14945	126	27	compared	compare	VERB
ajst-14945	126	28	with	with	ADP
ajst-14945	126	29	88	88	NUM
ajst-14945	126	30	%	%	NOUN
ajst-14945	126	31	of	of	ADP
ajst-14945	126	32	traditional	traditional	ADJ
ajst-14945	126	33	diagnostic	diagnostic	ADJ
ajst-14945	126	34	methods	method	NOUN
ajst-14945	126	35	,	,	PUNCT
ajst-14945	126	36	indicating	indicate	VERB
ajst-14945	126	37	that	that	SCONJ
ajst-14945	126	38	ai	ai	VERB
ajst-14945	126	39	is	be	AUX
ajst-14945	126	40	more	more	ADV
ajst-14945	126	41	accurate	accurate	ADJ
ajst-14945	126	42	in	in	ADP
ajst-14945	126	43	identifying	identify	VERB
ajst-14945	126	44	relevant	relevant	ADJ
ajst-14945	126	45	pathological	pathological	ADJ
ajst-14945	126	46	features	feature	NOUN
ajst-14945	126	47	.	.	PUNCT
ajst-14945	127	1	similarly	similarly	ADV
ajst-14945	127	2	,	,	PUNCT
ajst-14945	127	3	when	when	SCONJ
ajst-14945	127	4	processing	processing	NOUN
ajst-14945	127	5	mri	mri	NOUN
ajst-14945	127	6	images	image	NOUN
ajst-14945	127	7	,	,	PUNCT
ajst-14945	127	8	the	the	DET
ajst-14945	127	9	cnn	cnn	PROPN
ajst-14945	127	10	achieved	achieve	VERB
ajst-14945	127	11	a	a	DET
ajst-14945	127	12	sensitivity	sensitivity	NOUN
ajst-14945	127	13	of	of	ADP
ajst-14945	127	14	94	94	NUM
ajst-14945	127	15	%	%	NOUN
ajst-14945	127	16	,	,	PUNCT
ajst-14945	127	17	which	which	PRON
ajst-14945	127	18	means	mean	VERB
ajst-14945	127	19	that	that	SCONJ
ajst-14945	127	20	it	it	PRON
ajst-14945	127	21	performed	perform	VERB
ajst-14945	127	22	well	well	ADV
ajst-14945	127	23	at	at	ADP
ajst-14945	127	24	identifying	identify	VERB
ajst-14945	127	25	true	true	ADJ
ajst-14945	127	26	pathological	pathological	ADJ
ajst-14945	127	27	conditions	condition	NOUN
ajst-14945	127	28	,	,	PUNCT
ajst-14945	127	29	while	while	SCONJ
ajst-14945	127	30	the	the	DET
ajst-14945	127	31	sensitivity	sensitivity	NOUN
ajst-14945	127	32	of	of	ADP
ajst-14945	127	33	traditional	traditional	ADJ
ajst-14945	127	34	methods	method	NOUN
ajst-14945	127	35	is	be	AUX
ajst-14945	127	36	usually	usually	ADV
ajst-14945	127	37	lower	low	ADJ
ajst-14945	127	38	than	than	ADP
ajst-14945	127	39	this	this	DET
ajst-14945	127	40	value	value	NOUN
ajst-14945	127	41	.	.	PUNCT
ajst-14945	128	1	figure	figure	NOUN
ajst-14945	128	2	2	2	NUM
ajst-14945	128	3	.	.	X
ajst-14945	128	4	ct	ct	NUM
ajst-14945	128	5	pulmonary	pulmonary	ADJ
ajst-14945	128	6	nodule	nodule	NOUN
ajst-14945	128	7	test	test	NOUN
ajst-14945	128	8	results	result	NOUN
ajst-14945	128	9	in	in	ADP
ajst-14945	128	10	addition	addition	NOUN
ajst-14945	128	11	,	,	PUNCT
ajst-14945	128	12	we	we	PRON
ajst-14945	128	13	also	also	ADV
ajst-14945	128	14	focused	focus	VERB
ajst-14945	128	15	on	on	ADP
ajst-14945	128	16	the	the	DET
ajst-14945	128	17	specificity	specificity	NOUN
ajst-14945	128	18	of	of	ADP
ajst-14945	128	19	the	the	DET
ajst-14945	128	20	model	model	NOUN
ajst-14945	128	21	,	,	PUNCT
ajst-14945	128	22	that	that	ADV
ajst-14945	128	23	is	is	ADV
ajst-14945	128	24	,	,	PUNCT
ajst-14945	128	25	its	its	PRON
ajst-14945	128	26	accuracy	accuracy	NOUN
ajst-14945	128	27	in	in	ADP
ajst-14945	128	28	excluding	exclude	VERB
ajst-14945	128	29	non	non	NOUN
ajst-14945	128	30	-	-	NOUN
ajst-14945	128	31	cases	case	NOUN
ajst-14945	128	32	.	.	PUNCT
ajst-14945	129	1	when	when	SCONJ
ajst-14945	129	2	processing	processing	NOUN
ajst-14945	129	3	ultrasound	ultrasound	NOUN
ajst-14945	129	4	images	image	NOUN
ajst-14945	129	5	,	,	PUNCT
ajst-14945	129	6	the	the	DET
ajst-14945	129	7	cnn	cnn	PROPN
ajst-14945	129	8	demonstrated	demonstrate	VERB
ajst-14945	129	9	a	a	DET
ajst-14945	129	10	specificity	specificity	NOUN
ajst-14945	129	11	of	of	ADP
ajst-14945	129	12	93	93	NUM
ajst-14945	129	13	%	%	NOUN
ajst-14945	129	14	,	,	PUNCT
ajst-14945	129	15	indicating	indicate	VERB
ajst-14945	129	16	that	that	SCONJ
ajst-14945	129	17	it	it	PRON
ajst-14945	129	18	also	also	ADV
ajst-14945	129	19	has	have	VERB
ajst-14945	129	20	advantages	advantage	NOUN
ajst-14945	129	21	in	in	ADP
ajst-14945	129	22	avoiding	avoid	VERB
ajst-14945	129	23	misdiagnosis	misdiagnosis	NOUN
ajst-14945	129	24	.	.	PUNCT
ajst-14945	130	1	imaging	imaging	NOUN
ajst-14945	130	2	type	type	NOUN
ajst-14945	130	3	cnn	cnn	PROPN
ajst-14945	130	4	accuracy	accuracy	NOUN
ajst-14945	130	5	traditional	traditional	ADJ
ajst-14945	130	6	method	method	NOUN
ajst-14945	130	7	accuracy	accuracy	NOUN
ajst-14945	130	8	cnn	cnn	PROPN
ajst-14945	130	9	sensitivity	sensitivity	PROPN
ajst-14945	130	10	cnn	cnn	PROPN
ajst-14945	130	11	specificity	specificity	NOUN
ajst-14945	130	12	x	x	PROPN
ajst-14945	130	13	-	-	NOUN
ajst-14945	130	14	ray	ray	NOUN
ajst-14945	130	15	94	94	NUM
ajst-14945	130	16	%	%	NOUN
ajst-14945	130	17	88	88	NUM
ajst-14945	130	18	%	%	NOUN
ajst-14945	130	19	93	93	NUM
ajst-14945	130	20	%	%	NOUN
ajst-14945	130	21	95	95	NUM
ajst-14945	130	22	%	%	NOUN
ajst-14945	130	23	ct	ct	NOUN
ajst-14945	130	24	scan	scan	NOUN
ajst-14945	130	25	92	92	NUM
ajst-14945	130	26	%	%	NOUN
ajst-14945	130	27	86	86	NUM
ajst-14945	130	28	%	%	NOUN
ajst-14945	130	29	90	90	NUM
ajst-14945	130	30	%	%	NOUN
ajst-14945	130	31	94	94	NUM
ajst-14945	130	32	%	%	NOUN
ajst-14945	130	33	mri	mri	NOUN
ajst-14945	130	34	95	95	NUM
ajst-14945	130	35	%	%	NOUN
ajst-14945	130	36	89	89	NUM
ajst-14945	130	37	%	%	NOUN
ajst-14945	130	38	94	94	NUM
ajst-14945	130	39	%	%	NOUN
ajst-14945	130	40	96	96	NUM
ajst-14945	130	41	%	%	NOUN
ajst-14945	130	42	ultrasound	ultrasound	NOUN
ajst-14945	130	43	93	93	NUM
ajst-14945	130	44	%	%	NOUN
ajst-14945	130	45	87	87	NUM
ajst-14945	130	46	%	%	NOUN
ajst-14945	130	47	92	92	NUM
ajst-14945	130	48	%	%	NOUN
ajst-14945	130	49	94	94	NUM
ajst-14945	130	50	%	%	NOUN
ajst-14945	130	51	these	these	DET
ajst-14945	130	52	results	result	NOUN
ajst-14945	130	53	clearly	clearly	ADV
ajst-14945	130	54	demonstrate	demonstrate	VERB
ajst-14945	130	55	that	that	SCONJ
ajst-14945	130	56	deep	deep	ADJ
ajst-14945	130	57	learning	learning	NOUN
ajst-14945	130	58	models	model	NOUN
ajst-14945	130	59	exhibit	exhibit	VERB
ajst-14945	130	60	significant	significant	ADJ
ajst-14945	130	61	advantages	advantage	NOUN
ajst-14945	130	62	in	in	ADP
ajst-14945	130	63	the	the	DET
ajst-14945	130	64	processing	processing	NOUN
ajst-14945	130	65	and	and	CCONJ
ajst-14945	130	66	diagnosis	diagnosis	NOUN
ajst-14945	130	67	of	of	ADP
ajst-14945	130	68	medical	medical	ADJ
ajst-14945	130	69	images	image	NOUN
ajst-14945	130	70	.	.	PUNCT
ajst-14945	131	1	through	through	ADP
ajst-14945	131	2	in	in	ADP
ajst-14945	131	3	-	-	PUNCT
ajst-14945	131	4	depth	depth	NOUN
ajst-14945	131	5	analysis	analysis	NOUN
ajst-14945	131	6	of	of	ADP
ajst-14945	131	7	these	these	DET
ajst-14945	131	8	key	key	ADJ
ajst-14945	131	9	performance	performance	NOUN
ajst-14945	131	10	indicators	indicator	NOUN
ajst-14945	131	11	,	,	PUNCT
ajst-14945	131	12	we	we	PRON
ajst-14945	131	13	can	can	AUX
ajst-14945	131	14	more	more	ADV
ajst-14945	131	15	comprehensively	comprehensively	ADV
ajst-14945	131	16	understand	understand	VERB
ajst-14945	131	17	the	the	DET
ajst-14945	131	18	application	application	NOUN
ajst-14945	131	19	potential	potential	NOUN
ajst-14945	131	20	of	of	ADP
ajst-14945	131	21	artificial	artificial	ADJ
ajst-14945	131	22	intelligence	intelligence	NOUN
ajst-14945	131	23	in	in	ADP
ajst-14945	131	24	the	the	DET
ajst-14945	131	25	field	field	NOUN
ajst-14945	131	26	of	of	ADP
ajst-14945	131	27	medical	medical	ADJ
ajst-14945	131	28	diagnosis	diagnosis	NOUN
ajst-14945	131	29	,	,	PUNCT
ajst-14945	131	30	providing	provide	VERB
ajst-14945	131	31	valuable	valuable	ADJ
ajst-14945	131	32	reference	reference	NOUN
ajst-14945	131	33	for	for	ADP
ajst-14945	131	34	future	future	ADJ
ajst-14945	131	35	technology	technology	NOUN
ajst-14945	131	36	development	development	NOUN
ajst-14945	131	37	and	and	CCONJ
ajst-14945	131	38	applications	application	NOUN
ajst-14945	131	39	.	.	PUNCT
ajst-14945	132	1	5	5	X
ajst-14945	132	2	.	.	X
ajst-14945	132	3	discussion	discussion	NOUN
ajst-14945	132	4	research	research	NOUN
ajst-14945	132	5	results	result	NOUN
ajst-14945	132	6	show	show	VERB
ajst-14945	132	7	that	that	SCONJ
ajst-14945	132	8	the	the	DET
ajst-14945	132	9	use	use	NOUN
ajst-14945	132	10	of	of	ADP
ajst-14945	132	11	deep	deep	ADJ
ajst-14945	132	12	learning	learning	NOUN
ajst-14945	132	13	models	model	NOUN
ajst-14945	132	14	,	,	PUNCT
ajst-14945	132	15	especially	especially	ADV
ajst-14945	132	16	convolutional	convolutional	ADJ
ajst-14945	132	17	neural	neural	ADJ
ajst-14945	132	18	networks	network	NOUN
ajst-14945	132	19	(	(	PUNCT
ajst-14945	132	20	cnn	cnn	PROPN
ajst-14945	132	21	)	)	PUNCT
ajst-14945	132	22	,	,	PUNCT
ajst-14945	132	23	has	have	VERB
ajst-14945	132	24	significant	significant	ADJ
ajst-14945	132	25	advantages	advantage	NOUN
ajst-14945	132	26	in	in	ADP
ajst-14945	132	27	medical	medical	ADJ
ajst-14945	132	28	diagnosis	diagnosis	NOUN
ajst-14945	132	29	.	.	PUNCT
ajst-14945	133	1	compared	compare	VERB
ajst-14945	133	2	with	with	ADP
ajst-14945	133	3	traditional	traditional	ADJ
ajst-14945	133	4	diagnostic	diagnostic	ADJ
ajst-14945	133	5	methods	method	NOUN
ajst-14945	133	6	,	,	PUNCT
ajst-14945	133	7	cnn	cnn	PROPN
ajst-14945	133	8	shows	show	VERB
ajst-14945	133	9	higher	high	ADJ
ajst-14945	133	10	accuracy	accuracy	NOUN
ajst-14945	133	11	and	and	CCONJ
ajst-14945	133	12	sensitivity	sensitivity	NOUN
ajst-14945	133	13	when	when	SCONJ
ajst-14945	133	14	processing	processing	NOUN
ajst-14945	133	15	complex	complex	ADJ
ajst-14945	133	16	medical	medical	ADJ
ajst-14945	133	17	images	image	NOUN
ajst-14945	133	18	.	.	PUNCT
ajst-14945	134	1	for	for	ADP
ajst-14945	134	2	example	example	NOUN
ajst-14945	134	3	,	,	PUNCT
ajst-14945	134	4	for	for	ADP
ajst-14945	134	5	mri	mri	NOUN
ajst-14945	134	6	images	image	NOUN
ajst-14945	134	7	,	,	PUNCT
ajst-14945	134	8	the	the	DET
ajst-14945	134	9	accuracy	accuracy	NOUN
ajst-14945	134	10	of	of	ADP
ajst-14945	134	11	cnn	cnn	PROPN
ajst-14945	134	12	reached	reach	VERB
ajst-14945	134	13	95	95	NUM
ajst-14945	134	14	%	%	NOUN
ajst-14945	134	15	,	,	PUNCT
ajst-14945	134	16	which	which	PRON
ajst-14945	134	17	is	be	AUX
ajst-14945	134	18	a	a	DET
ajst-14945	134	19	significant	significant	ADJ
ajst-14945	134	20	improvement	improvement	NOUN
ajst-14945	134	21	compared	compare	VERB
ajst-14945	134	22	to	to	ADP
ajst-14945	134	23	the	the	DET
ajst-14945	134	24	89	89	NUM
ajst-14945	134	25	%	%	NOUN
ajst-14945	134	26	of	of	ADP
ajst-14945	134	27	traditional	traditional	ADJ
ajst-14945	134	28	methods	method	NOUN
ajst-14945	134	29	.	.	PUNCT
ajst-14945	135	1	this	this	DET
ajst-14945	135	2	result	result	NOUN
ajst-14945	135	3	validates	validate	VERB
ajst-14945	135	4	our	our	PRON
ajst-14945	135	5	initial	initial	ADJ
ajst-14945	135	6	hypothesis	hypothesis	NOUN
ajst-14945	135	7	that	that	PRON
ajst-14945	135	8	utilizing	utilize	VERB
ajst-14945	135	9	advanced	advanced	ADJ
ajst-14945	135	10	ai	ai	NOUN
ajst-14945	135	11	technology	technology	NOUN
ajst-14945	135	12	can	can	AUX
ajst-14945	135	13	improve	improve	VERB
ajst-14945	135	14	the	the	DET
ajst-14945	135	15	accuracy	accuracy	NOUN
ajst-14945	135	16	and	and	CCONJ
ajst-14945	135	17	efficiency	efficiency	NOUN
ajst-14945	135	18	of	of	ADP
ajst-14945	135	19	medical	medical	ADJ
ajst-14945	135	20	diagnosis	diagnosis	NOUN
ajst-14945	135	21	.	.	PUNCT
ajst-14945	136	1	these	these	DET
ajst-14945	136	2	findings	finding	NOUN
ajst-14945	136	3	are	be	AUX
ajst-14945	136	4	consistent	consistent	ADJ
ajst-14945	136	5	with	with	ADP
ajst-14945	136	6	our	our	PRON
ajst-14945	136	7	research	research	NOUN
ajst-14945	136	8	goal	goal	NOUN
ajst-14945	136	9	,	,	PUNCT
ajst-14945	136	10	which	which	PRON
ajst-14945	136	11	is	be	AUX
ajst-14945	136	12	to	to	PART
ajst-14945	136	13	explore	explore	VERB
ajst-14945	136	14	the	the	DET
ajst-14945	136	15	application	application	NOUN
ajst-14945	136	16	potential	potential	NOUN
ajst-14945	136	17	of	of	ADP
ajst-14945	136	18	ai	ai	NOUN
ajst-14945	136	19	in	in	ADP
ajst-14945	136	20	the	the	DET
ajst-14945	136	21	field	field	NOUN
ajst-14945	136	22	of	of	ADP
ajst-14945	136	23	medical	medical	ADJ
ajst-14945	136	24	diagnosis	diagnosis	NOUN
ajst-14945	136	25	.	.	PUNCT
ajst-14945	137	1	especially	especially	ADV
ajst-14945	137	2	in	in	ADP
ajst-14945	137	3	terms	term	NOUN
ajst-14945	137	4	of	of	ADP
ajst-14945	137	5	sensitivity	sensitivity	NOUN
ajst-14945	137	6	,	,	PUNCT
ajst-14945	137	7	high	high	ADJ
ajst-14945	137	8	sensitivity	sensitivity	NOUN
ajst-14945	137	9	means	mean	VERB
ajst-14945	137	10	that	that	SCONJ
ajst-14945	137	11	the	the	DET
ajst-14945	137	12	real	real	ADJ
ajst-14945	137	13	pathological	pathological	ADJ
ajst-14945	137	14	conditions	condition	NOUN
ajst-14945	137	15	can	can	AUX
ajst-14945	137	16	be	be	AUX
ajst-14945	137	17	more	more	ADV
ajst-14945	137	18	accurately	accurately	ADV
ajst-14945	137	19	identified	identify	VERB
ajst-14945	137	20	,	,	PUNCT
ajst-14945	137	21	which	which	PRON
ajst-14945	137	22	is	be	AUX
ajst-14945	137	23	of	of	ADP
ajst-14945	137	24	great	great	ADJ
ajst-14945	137	25	significance	significance	NOUN
ajst-14945	137	26	for	for	ADP
ajst-14945	137	27	improving	improve	VERB
ajst-14945	137	28	the	the	DET
ajst-14945	137	29	timeliness	timeliness	NOUN
ajst-14945	137	30	of	of	ADP
ajst-14945	137	31	diagnosis	diagnosis	NOUN
ajst-14945	137	32	and	and	CCONJ
ajst-14945	137	33	reducing	reduce	VERB
ajst-14945	137	34	misdiagnosis	misdiagnosis	NOUN
ajst-14945	137	35	.	.	PUNCT
ajst-14945	138	1	6	6	NUM
ajst-14945	138	2	.	.	X
ajst-14945	138	3	conclusion	conclusion	NOUN
ajst-14945	138	4	although	although	SCONJ
ajst-14945	138	5	the	the	DET
ajst-14945	138	6	results	result	NOUN
ajst-14945	138	7	are	be	AUX
ajst-14945	138	8	encouraging	encouraging	ADJ
ajst-14945	138	9	,	,	PUNCT
ajst-14945	138	10	the	the	DET
ajst-14945	138	11	study	study	NOUN
ajst-14945	138	12	has	have	VERB
ajst-14945	138	13	certain	certain	ADJ
ajst-14945	138	14	limitations	limitation	NOUN
ajst-14945	138	15	.	.	PUNCT
ajst-14945	139	1	first	first	ADV
ajst-14945	139	2	,	,	PUNCT
ajst-14945	139	3	the	the	DET
ajst-14945	139	4	size	size	NOUN
ajst-14945	139	5	and	and	CCONJ
ajst-14945	139	6	diversity	diversity	NOUN
ajst-14945	139	7	of	of	ADP
ajst-14945	139	8	the	the	DET
ajst-14945	139	9	dataset	dataset	NOUN
ajst-14945	139	10	may	may	AUX
ajst-14945	139	11	limit	limit	VERB
ajst-14945	139	12	the	the	DET
ajst-14945	139	13	generalizability	generalizability	NOUN
ajst-14945	139	14	of	of	ADP
ajst-14945	139	15	the	the	DET
ajst-14945	139	16	results	result	NOUN
ajst-14945	139	17	.	.	PUNCT
ajst-14945	140	1	our	our	PRON
ajst-14945	140	2	data	datum	NOUN
ajst-14945	140	3	are	be	AUX
ajst-14945	140	4	primarily	primarily	ADV
ajst-14945	140	5	drawn	draw	VERB
ajst-14945	140	6	from	from	ADP
ajst-14945	140	7	specific	specific	ADJ
ajst-14945	140	8	medical	medical	ADJ
ajst-14945	140	9	institutions	institution	NOUN
ajst-14945	140	10	,	,	PUNCT
ajst-14945	140	11	which	which	PRON
ajst-14945	140	12	may	may	AUX
ajst-14945	140	13	not	not	PART
ajst-14945	140	14	fully	fully	ADV
ajst-14945	140	15	represent	represent	VERB
ajst-14945	140	16	the	the	DET
ajst-14945	140	17	broader	broad	ADJ
ajst-14945	140	18	population	population	NOUN
ajst-14945	140	19	.	.	PUNCT
ajst-14945	141	1	second	second	ADJ
ajst-14945	141	2	,	,	PUNCT
ajst-14945	141	3	although	although	SCONJ
ajst-14945	141	4	deep	deep	ADJ
ajst-14945	141	5	learning	learning	NOUN
ajst-14945	141	6	models	model	NOUN
ajst-14945	141	7	perform	perform	VERB
ajst-14945	141	8	well	well	ADV
ajst-14945	141	9	in	in	ADP
ajst-14945	141	10	accuracy	accuracy	NOUN
ajst-14945	141	11	,	,	PUNCT
ajst-14945	141	12	their	their	PRON
ajst-14945	141	13	high	high	ADJ
ajst-14945	141	14	complexity	complexity	NOUN
ajst-14945	141	15	sometimes	sometimes	ADV
ajst-14945	141	16	leads	lead	VERB
ajst-14945	141	17	to	to	ADP
ajst-14945	141	18	insufficient	insufficient	ADJ
ajst-14945	141	19	interpretability	interpretability	NOUN
ajst-14945	141	20	,	,	PUNCT
ajst-14945	141	21	which	which	PRON
ajst-14945	141	22	may	may	AUX
ajst-14945	141	23	affect	affect	VERB
ajst-14945	141	24	medical	medical	ADJ
ajst-14945	141	25	professionals	professional	NOUN
ajst-14945	141	26	'	'	PART
ajst-14945	141	27	trust	trust	NOUN
ajst-14945	141	28	in	in	ADP
ajst-14945	141	29	ai	ai	PRON
ajst-14945	141	30	diagnostic	diagnostic	ADJ
ajst-14945	141	31	results	result	NOUN
ajst-14945	141	32	.	.	PUNCT
ajst-14945	142	1	future	future	ADJ
ajst-14945	142	2	research	research	NOUN
ajst-14945	142	3	can	can	AUX
ajst-14945	142	4	start	start	VERB
ajst-14945	142	5	from	from	ADP
ajst-14945	142	6	several	several	ADJ
ajst-14945	142	7	aspects	aspect	NOUN
ajst-14945	142	8	.	.	PUNCT
ajst-14945	143	1	first	first	ADV
ajst-14945	143	2	,	,	PUNCT
ajst-14945	143	3	the	the	DET
ajst-14945	143	4	size	size	NOUN
ajst-14945	143	5	and	and	CCONJ
ajst-14945	143	6	diversity	diversity	NOUN
ajst-14945	143	7	of	of	ADP
ajst-14945	143	8	the	the	DET
ajst-14945	143	9	data	datum	NOUN
ajst-14945	143	10	set	set	VERB
ajst-14945	143	11	can	can	AUX
ajst-14945	143	12	be	be	AUX
ajst-14945	143	13	expanded	expand	VERB
ajst-14945	143	14	to	to	PART
ajst-14945	143	15	improve	improve	VERB
ajst-14945	143	16	the	the	DET
ajst-14945	143	17	generalization	generalization	NOUN
ajst-14945	143	18	ability	ability	NOUN
ajst-14945	143	19	of	of	ADP
ajst-14945	143	20	the	the	DET
ajst-14945	143	21	model	model	NOUN
ajst-14945	143	22	.	.	PUNCT
ajst-14945	144	1	secondly	secondly	ADV
ajst-14945	144	2	,	,	PUNCT
ajst-14945	144	3	research	research	NOUN
ajst-14945	144	4	can	can	AUX
ajst-14945	144	5	further	far	ADV
ajst-14945	144	6	explore	explore	VERB
ajst-14945	144	7	ways	way	NOUN
ajst-14945	144	8	to	to	PART
ajst-14945	144	9	improve	improve	VERB
ajst-14945	144	10	model	model	NOUN
ajst-14945	144	11	interpretability	interpretability	NOUN
ajst-14945	144	12	,	,	PUNCT
ajst-14945	144	13	such	such	ADJ
ajst-14945	144	14	as	as	ADP
ajst-14945	144	15	developing	develop	VERB
ajst-14945	144	16	more	more	ADV
ajst-14945	144	17	intuitive	intuitive	ADJ
ajst-14945	144	18	visualization	visualization	NOUN
ajst-14945	144	19	tools	tool	NOUN
ajst-14945	144	20	to	to	PART
ajst-14945	144	21	explain	explain	VERB
ajst-14945	144	22	the	the	DET
ajst-14945	144	23	decision	decision	NOUN
ajst-14945	144	24	-	-	PUNCT
ajst-14945	144	25	making	make	VERB
ajst-14945	144	26	process	process	NOUN
ajst-14945	144	27	of	of	ADP
ajst-14945	144	28	ai	ai	NOUN
ajst-14945	144	29	.	.	PUNCT
ajst-14945	145	1	finally	finally	ADV
ajst-14945	145	2	,	,	PUNCT
ajst-14945	145	3	explore	explore	VERB
ajst-14945	145	4	the	the	DET
ajst-14945	145	5	cooperation	cooperation	NOUN
ajst-14945	145	6	model	model	NOUN
ajst-14945	145	7	between	between	ADP
ajst-14945	145	8	ai	ai	PROPN
ajst-14945	145	9	technology	technology	NOUN
ajst-14945	145	10	and	and	CCONJ
ajst-14945	145	11	doctors	doctor	NOUN
ajst-14945	145	12	to	to	PART
ajst-14945	145	13	make	make	VERB
ajst-14945	145	14	full	full	ADJ
ajst-14945	145	15	use	use	NOUN
ajst-14945	145	16	of	of	ADP
ajst-14945	145	17	ai	ai	PROPN
ajst-14945	145	18	's	's	PART
ajst-14945	145	19	analytical	analytical	ADJ
ajst-14945	145	20	capabilities	capability	NOUN
ajst-14945	145	21	and	and	CCONJ
ajst-14945	145	22	doctors	doctor	NOUN
ajst-14945	145	23	'	'	PART
ajst-14945	145	24	clinical	clinical	ADJ
ajst-14945	145	25	experience	experience	NOUN
ajst-14945	145	26	to	to	PART
ajst-14945	145	27	jointly	jointly	ADV
ajst-14945	145	28	improve	improve	VERB
ajst-14945	145	29	the	the	DET
ajst-14945	145	30	accuracy	accuracy	NOUN
ajst-14945	145	31	and	and	CCONJ
ajst-14945	145	32	efficiency	efficiency	NOUN
ajst-14945	145	33	of	of	ADP
ajst-14945	145	34	diagnosis	diagnosis	NOUN
ajst-14945	145	35	.	.	PUNCT
ajst-14945	146	1	references	reference	NOUN
ajst-14945	146	2	[	[	X
ajst-14945	146	3	1	1	NUM
ajst-14945	146	4	]	]	PUNCT
ajst-14945	146	5	mohammed	mohammed	PROPN
ajst-14945	146	6	s	s	PROPN
ajst-14945	146	7	,	,	PUNCT
ajst-14945	146	8	fiaidh	fiaidh	PROPN
ajst-14945	146	9	j	j	PROPN
ajst-14945	146	10	.cyber	.cyber	PROPN
ajst-14945	146	11	physical	physical	ADJ
ajst-14945	146	12	systems	system	NOUN
ajst-14945	146	13	:	:	PUNCT
ajst-14945	146	14	a	a	DET
ajst-14945	146	15	new	new	ADJ
ajst-14945	146	16	frontier	frontier	NOUN
ajst-14945	146	17	of	of	ADP
ajst-14945	146	18	artificial	artificial	ADJ
ajst-14945	146	19	intelligence	intelligence	NOUN
ajst-14945	146	20	:	:	PUNCT
ajst-14945	146	21	summary	summary	NOUN
ajst-14945	146	22	paper	paper	NOUN
ajst-14945	147	1	[	[	X
ajst-14945	147	2	j	j	X
ajst-14945	147	3	]	]	X
ajst-14945	147	4	.	.	PUNCT
ajst-14945	148	1	international	international	ADJ
ajst-14945	148	2	journal	journal	PROPN
ajst-14945	148	3	of	of	ADP
ajst-14945	148	4	control	control	NOUN
ajst-14945	148	5	and	and	CCONJ
ajst-14945	148	6	automation	automation	NOUN
ajst-14945	148	7	,	,	PUNCT
ajst-14945	148	8	2019	2019	NUM
ajst-14945	148	9	,	,	PUNCT
ajst-14945	148	10	12	12	NUM
ajst-14945	148	11	(	(	PUNCT
ajst-14945	148	12	1	1	NUM
ajst-14945	148	13	):	):	PUNCT
ajst-14945	148	14	23	23	NUM
ajst-14945	148	15	-	-	SYM
ajst-14945	148	16	30.doi:10.33832	30.doi:10.33832	NOUN
ajst-14945	148	17	/	/	SYM
ajst-14945	148	18	ijca.2019.12.1.03	ijca.2019.12.1.03	NOUN
ajst-14945	148	19	.	.	PUNCT
ajst-14945	149	1	[	[	X
ajst-14945	149	2	2	2	X
ajst-14945	149	3	]	]	X
ajst-14945	149	4	yi	yi	NOUN
ajst-14945	150	1	l	l	NOUN
ajst-14945	151	1	i	i	PRON
ajst-14945	151	2	,	,	PUNCT
ajst-14945	151	3	shuang	shuang	PROPN
ajst-14945	151	4	-	-	PUNCT
ajst-14945	151	5	yu	yu	PROPN
ajst-14945	151	6	k	k	PROPN
ajst-14945	151	7	,	,	PUNCT
ajst-14945	151	8	qing	qing	NOUN
ajst-14945	151	9	-	-	PUNCT
ajst-14945	151	10	jun	jun	PROPN
ajst-14945	151	11	g	g	PROPN
ajst-14945	151	12	,	,	PUNCT
ajst-14945	151	13	et	et	PROPN
ajst-14945	151	14	al	al	PROPN
ajst-14945	151	15	.	.	PROPN
ajst-14945	152	1	on	on	ADP
ajst-14945	152	2	application	application	NOUN
ajst-14945	152	3	of	of	ADP
ajst-14945	152	4	artificial	artificial	ADJ
ajst-14945	152	5	intelligence	intelligence	NOUN
ajst-14945	152	6	in	in	ADP
ajst-14945	152	7	the	the	DET
ajst-14945	152	8	clinical	clinical	ADJ
ajst-14945	152	9	skill	skill	NOUN
ajst-14945	152	10	training	training	NOUN
ajst-14945	152	11	of	of	ADP
ajst-14945	152	12	medical	medical	ADJ
ajst-14945	152	13	students[j	students[j	PROPN
ajst-14945	152	14	]	]	PUNCT
ajst-14945	152	15	.	.	PUNCT
ajst-14945	153	1	medical	medical	ADJ
ajst-14945	153	2	education	education	NOUN
ajst-14945	153	3	research	research	NOUN
ajst-14945	153	4	and	and	CCONJ
ajst-14945	153	5	practice	practice	NOUN
ajst-14945	153	6	,	,	PUNCT
ajst-14945	153	7	2018	2018	NUM
ajst-14945	153	8	.	.	PUNCT
ajst-14945	154	1	[	[	X
ajst-14945	154	2	3	3	NUM
ajst-14945	154	3	]	]	X
ajst-14945	154	4	yu	yu	PROPN
ajst-14945	154	5	,	,	PUNCT
ajst-14945	154	6	chenglong	chenglong	PROPN
ajst-14945	154	7	,	,	PUNCT
ajst-14945	154	8	yu	yu	PROPN
ajst-14945	154	9	,	,	PUNCT
ajst-14945	154	10	et	et	PROPN
ajst-14945	154	11	al.application	al.application	NOUN
ajst-14945	154	12	of	of	ADP
ajst-14945	154	13	artificial	artificial	ADJ
ajst-14945	154	14	intelligence	intelligence	NOUN
ajst-14945	154	15	robots	robot	NOUN
ajst-14945	154	16	in	in	ADP
ajst-14945	154	17	precise	precise	ADJ
ajst-14945	154	18	management	management	NOUN
ajst-14945	154	19	of	of	ADP
ajst-14945	154	20	medical	medical	ADJ
ajst-14945	154	21	equipment	equipment	NOUN
ajst-14945	154	22	in	in	ADP
ajst-14945	154	23	the	the	DET
ajst-14945	154	24	context	context	NOUN
ajst-14945	154	25	of	of	ADP
ajst-14945	154	26	the	the	DET
ajst-14945	154	27	internet	internet	NOUN
ajst-14945	154	28	of	of	ADP
ajst-14945	154	29	things[c]//0[2023	things[c]//0[2023	NOUN
ajst-14945	154	30	-	-	PUNCT
ajst-14945	154	31	11	11	NUM
ajst-14945	154	32	-	-	SYM
ajst-14945	154	33	29	29	NUM
ajst-14945	154	34	]	]	PUNCT
ajst-14945	154	35	.	.	PUNCT
ajst-14945	155	1	[	[	X
ajst-14945	155	2	4	4	X
ajst-14945	155	3	]	]	X
ajst-14945	155	4	sachdeva	sachdeva	NOUN
ajst-14945	155	5	s	s	PROPN
ajst-14945	155	6	,	,	PUNCT
ajst-14945	155	7	mani	mani	PROPN
ajst-14945	155	8	a	a	PRON
ajst-14945	155	9	,	,	PUNCT
ajst-14945	155	10	vora	vora	PROPN
ajst-14945	155	11	h	h	PROPN
ajst-14945	155	12	,	,	PUNCT
ajst-14945	155	13	et	et	PROPN
ajst-14945	155	14	al.artificial	al.artificial	ADJ
ajst-14945	155	15	intelligence	intelligence	NOUN
ajst-14945	155	16	in	in	ADP
ajst-14945	155	17	periodontics	periodontic	NOUN
ajst-14945	155	18	:	:	PUNCT
ajst-14945	155	19	a	a	DET
ajst-14945	155	20	dip	dip	NOUN
ajst-14945	155	21	in	in	ADP
ajst-14945	155	22	the	the	DET
ajst-14945	155	23	future	future	NOUN
ajst-14945	156	1	[	[	X
ajst-14945	156	2	j	j	X
ajst-14945	156	3	]	]	X
ajst-14945	156	4	.	.	PUNCT
ajst-14945	157	1	journal	journal	PROPN
ajst-14945	157	2	of	of	ADP
ajst-14945	157	3	cellular	cellular	ADJ
ajst-14945	157	4	biotechnology	biotechnology	NOUN
ajst-14945	157	5	.	.	PUNCT
ajst-14945	158	1	2021(2):7	2021(2):7	NOUN
ajst-14945	158	2	.	.	PUNCT
ajst-14945	159	1	[	[	X
ajst-14945	159	2	5	5	X
ajst-14945	159	3	]	]	X
ajst-14945	159	4	birkmeyer	birkmeyer	NOUN
ajst-14945	159	5	j	j	PROPN
ajst-14945	160	1	d	d	INTJ
ajst-14945	160	2	.the	.the	DET
ajst-14945	160	3	future	future	NOUN
ajst-14945	160	4	of	of	ADP
ajst-14945	160	5	artificial	artificial	ADJ
ajst-14945	160	6	intelligence	intelligence	NOUN
ajst-14945	160	7	in	in	ADP
ajst-14945	160	8	surgical	surgical	ADJ
ajst-14945	160	9	care	care	NOUN
ajst-14945	161	1	[	[	X
ajst-14945	161	2	j	j	X
ajst-14945	161	3	]	]	X
ajst-14945	161	4	.	.	PUNCT
ajst-14945	162	1	annals	annal	NOUN
ajst-14945	162	2	of	of	ADP
ajst-14945	162	3	surgery	surgery	NOUN
ajst-14945	162	4	,	,	PUNCT
ajst-14945	162	5	2020	2020	NUM
ajst-14945	162	6	,	,	PUNCT
ajst-14945	162	7	272	272	NUM
ajst-14945	162	8	(	(	PUNCT
ajst-14945	162	9	3	3	NUM
ajst-14945	162	10	):	):	PUNCT
ajst-14945	162	11	529.doi:10.1097	529.doi:10.1097	NUM
ajst-14945	162	12	/	/	SYM
ajst-14945	162	13	sla.0000000000004186	sla.0000000000004186	X
ajst-14945	162	14	.	.	PUNCT
ajst-14945	163	1	[	[	X
ajst-14945	163	2	6	6	NUM
ajst-14945	163	3	]	]	SYM
ajst-14945	163	4	edge	edge	NOUN
ajst-14945	163	5	,	,	PUNCT
ajst-14945	163	6	a.	a.	NOUN
ajst-14945	163	7	s	s	PART
ajst-14945	163	8	l	l	NOUN
ajst-14945	163	9	,	,	PUNCT
ajst-14945	163	10	covington	covington	PROPN
ajst-14945	163	11	,	,	PUNCT
ajst-14945	163	12	et	et	PROPN
ajst-14945	163	13	al	al	PROPN
ajst-14945	163	14	.	.	PUNCT
ajst-14945	164	1	the	the	DET
ajst-14945	164	2	application	application	NOUN
ajst-14945	164	3	of	of	ADP
ajst-14945	164	4	faims	faim	NOUN
ajst-14945	164	5	gas	gas	NOUN
ajst-14945	164	6	analysis	analysis	NOUN
ajst-14945	164	7	in	in	ADP
ajst-14945	164	8	medical	medical	ADJ
ajst-14945	164	9	diagnostics[j	diagnostics[j	PROPN
ajst-14945	164	10	]	]	PUNCT
ajst-14945	164	11	.	.	PUNCT
ajst-14945	165	1	the	the	DET
ajst-14945	165	2	analyst	analyst	NOUN
ajst-14945	165	3	:	:	PUNCT
ajst-14945	165	4	the	the	DET
ajst-14945	165	5	analytical	analytical	ADJ
ajst-14945	165	6	journal	journal	NOUN
ajst-14945	165	7	of	of	ADP
ajst-14945	165	8	the	the	DET
ajst-14945	165	9	royal	royal	ADJ
ajst-14945	165	10	society	society	NOUN
ajst-14945	165	11	of	of	ADP
ajst-14945	165	12	chemistry	chemistry	NOUN
ajst-14945	165	13	:	:	PUNCT
ajst-14945	165	14	a	a	DET
ajst-14945	165	15	monthly	monthly	ADJ
ajst-14945	165	16	international	international	ADJ
ajst-14945	165	17	publication	publication	NOUN
ajst-14945	165	18	dealing	deal	VERB
ajst-14945	165	19	with	with	ADP
ajst-14945	165	20	all	all	DET
ajst-14945	165	21	branches	branch	NOUN
ajst-14945	165	22	of	of	ADP
ajst-14945	165	23	analytical	analytical	ADJ
ajst-14945	165	24	chemistry	chemistry	NOUN
ajst-14945	165	25	,	,	PUNCT
ajst-14945	165	26	2015	2015	NUM
ajst-14945	165	27	.	.	PUNCT
ajst-14945	166	1	61	61	NUM
ajst-14945	167	1	[	[	SYM
ajst-14945	167	2	7	7	NUM
ajst-14945	167	3	]	]	X
ajst-14945	167	4	peng	peng	PROPN
ajst-14945	167	5	-	-	PUNCT
ajst-14945	167	6	ran	run	VERB
ajst-14945	167	7	liulin	liulin	PROPN
ajst-14945	167	8	lujia	lujia	PROPN
ajst-14945	167	9	-	-	PUNCT
ajst-14945	167	10	yao	yao	NOUN
ajst-14945	167	11	zhangtong	zhangtong	PROPN
ajst-14945	167	12	-	-	PUNCT
ajst-14945	167	13	tong	tong	PROPN
ajst-14945	167	14	huosongxiang	huosongxiang	PROPN
ajst-14945	167	15	liuzhe	liuzhe	PROPN
ajst-14945	167	16	-	-	PUNCT
ajst-14945	167	17	wei	wei	PROPN
ajst-14945	167	18	ye.application	ye.application	NOUN
ajst-14945	167	19	of	of	ADP
ajst-14945	167	20	artificial	artificial	ADJ
ajst-14945	167	21	intelligence	intelligence	NOUN
ajst-14945	167	22	in	in	ADP
ajst-14945	167	23	medicine	medicine	NOUN
ajst-14945	167	24	:	:	PUNCT
ajst-14945	167	25	an	an	DET
ajst-14945	167	26	overview	overview	NOUN
ajst-14945	167	27	[	[	X
ajst-14945	167	28	j	j	X
ajst-14945	167	29	]	]	X
ajst-14945	167	30	.	.	PUNCT
ajst-14945	168	1	contemporary	contemporary	ADJ
ajst-14945	168	2	medical	medical	ADJ
ajst-14945	168	3	science	science	NOUN
ajst-14945	168	4	(	(	PUNCT
ajst-14945	168	5	in	in	ADP
ajst-14945	168	6	english	english	PROPN
ajst-14945	168	7	)	)	PUNCT
ajst-14945	168	8	,	,	PUNCT
ajst-14945	168	9	2021	2021	NUM
ajst-14945	168	10	,	,	PUNCT
ajst-14945	168	11	41(6):1105	41(6):1105	NUM
ajst-14945	168	12	-	-	SYM
ajst-14945	168	13	1115	1115	NUM
ajst-14945	168	14	.	.	PUNCT
ajst-14945	169	1	[	[	X
ajst-14945	169	2	8	8	NUM
ajst-14945	169	3	]	]	X
ajst-14945	169	4	rong	rong	PROPN
ajst-14945	169	5	g	g	PROPN
ajst-14945	169	6	,	,	PUNCT
ajst-14945	169	7	mendez	mendez	PROPN
ajst-14945	169	8	a	a	PRON
ajst-14945	169	9	,	,	PUNCT
ajst-14945	169	10	assi	assi	PROPN
ajst-14945	169	11	e	e	PROPN
ajst-14945	169	12	b	b	PROPN
ajst-14945	169	13	,	,	PUNCT
ajst-14945	169	14	et	et	PROPN
ajst-14945	169	15	al.artificial	al.artificial	ADJ
ajst-14945	169	16	intelligence	intelligence	NOUN
ajst-14945	169	17	in	in	ADP
ajst-14945	169	18	healthcare	healthcare	PROPN
ajst-14945	169	19	:	:	PUNCT
ajst-14945	169	20	review	review	NOUN
ajst-14945	169	21	and	and	CCONJ
ajst-14945	169	22	prediction	prediction	NOUN
ajst-14945	169	23	case	case	NOUN
ajst-14945	169	24	studies[j].engineering	studies[j].engineering	NOUN
ajst-14945	169	25	,	,	PUNCT
ajst-14945	169	26	2020	2020	NUM
ajst-14945	169	27	,	,	PUNCT
ajst-14945	169	28	6	6	NUM
ajst-14945	169	29	(	(	PUNCT
ajst-14945	169	30	3	3	NUM
ajst-14945	169	31	)	)	PUNCT
ajst-14945	169	32	.	.	PUNCT
ajst-14945	170	1	doi:10.1016	doi:10.1016	PROPN
ajst-14945	170	2	/	/	SYM
ajst-14945	170	3	j.eng.2019.08.015	j.eng.2019.08.015	PROPN
ajst-14945	170	4	.	.	PUNCT
ajst-14945	171	1	[	[	X
ajst-14945	171	2	9	9	NUM
ajst-14945	171	3	]	]	X
ajst-14945	171	4	guan	guan	PROPN
ajst-14945	171	5	j	j	PROPN
ajst-14945	171	6	.artificial	.artificial	PROPN
ajst-14945	171	7	intelligence	intelligence	NOUN
ajst-14945	171	8	in	in	ADP
ajst-14945	171	9	healthcare	healthcare	NOUN
ajst-14945	171	10	and	and	CCONJ
ajst-14945	171	11	medicine	medicine	NOUN
ajst-14945	171	12	:	:	PUNCT
ajst-14945	171	13	promises	promise	NOUN
ajst-14945	171	14	,	,	PUNCT
ajst-14945	171	15	ethical	ethical	ADJ
ajst-14945	171	16	challenges	challenge	NOUN
ajst-14945	171	17	and	and	CCONJ
ajst-14945	171	18	governance[j	governance[j	NOUN
ajst-14945	171	19	]	]	PUNCT
ajst-14945	171	20	.	.	PUNCT
ajst-14945	172	1	chinese	chinese	ADJ
ajst-14945	172	2	journal	journal	PROPN
ajst-14945	172	3	of	of	ADP
ajst-14945	172	4	medical	medical	ADJ
ajst-14945	172	5	sciences	science	NOUN
ajst-14945	172	6	:	:	PUNCT
ajst-14945	172	7	english	english	PROPN
ajst-14945	172	8	edition	edition	NOUN
ajst-14945	172	9	,	,	PUNCT
ajst-14945	172	10	2019	2019	NUM
ajst-14945	172	11	,	,	PUNCT
ajst-14945	172	12	34(2):8.doi:10.24920/003611	34(2):8.doi:10.24920/003611	NUM
ajst-14945	172	13	.	.	PUNCT
ajst-14945	173	1	[	[	X
ajst-14945	173	2	10	10	NUM
ajst-14945	173	3	]	]	X
ajst-14945	173	4	hogarty	hogarty	NOUN
ajst-14945	173	5	d	d	PROPN
ajst-14945	173	6	t	t	PROPN
ajst-14945	173	7	,	,	PUNCT
ajst-14945	173	8	mackey	mackey	PROPN
ajst-14945	173	9	d	d	PROPN
ajst-14945	173	10	a	a	PROPN
ajst-14945	173	11	,	,	PUNCT
ajst-14945	173	12	hewitt	hewitt	PROPN
ajst-14945	173	13	a	a	PRON
ajst-14945	173	14	w	w	NOUN
ajst-14945	173	15	.current	.current	PRON
ajst-14945	173	16	state	state	NOUN
ajst-14945	173	17	and	and	CCONJ
ajst-14945	173	18	future	future	ADJ
ajst-14945	173	19	prospects	prospect	NOUN
ajst-14945	173	20	of	of	ADP
ajst-14945	173	21	artificial	artificial	ADJ
ajst-14945	173	22	intelligence	intelligence	NOUN
ajst-14945	173	23	in	in	ADP
ajst-14945	173	24	ophthalmology	ophthalmology	NOUN
ajst-14945	173	25	:	:	PUNCT
ajst-14945	173	26	a	a	DET
ajst-14945	173	27	review	review	NOUN
ajst-14945	173	28	:	:	PUNCT
ajst-14945	173	29	artificial	artificial	ADJ
ajst-14945	173	30	intelligence	intelligence	NOUN
ajst-14945	173	31	in	in	ADP
ajst-14945	173	32	ophthalmology[j].clinical	ophthalmology[j].clinical	ADJ
ajst-14945	173	33	and	and	CCONJ
ajst-14945	173	34	experimental	experimental	ADJ
ajst-14945	173	35	ophthalmology	ophthalmology	NOUN
ajst-14945	173	36	,	,	PUNCT
ajst-14945	173	37	2018	2018	NUM
ajst-14945	173	38	,	,	PUNCT
ajst-14945	173	39	47	47	NUM
ajst-14945	173	40	(	(	PUNCT
ajst-14945	173	41	1	1	NUM
ajst-14945	173	42	)	)	PUNCT
ajst-14945	173	43	.	.	PUNCT
ajst-14945	174	1	doi:10.1111	doi:10.1111	PROPN
ajst-14945	174	2	/	/	SYM
ajst-14945	174	3	ceo.13381	ceo.13381	NUM
ajst-14945	174	4	.	.	PUNCT
ajst-14945	175	1	[	[	X
ajst-14945	175	2	11	11	NUM
ajst-14945	175	3	]	]	X
ajst-14945	175	4	chang	chang	PROPN
ajst-14945	175	5	che	che	PROPN
ajst-14945	175	6	,	,	PUNCT
ajst-14945	175	7	bo	bo	PROPN
ajst-14945	175	8	liu	liu	PROPN
ajst-14945	175	9	,	,	PUNCT
ajst-14945	175	10	shulin	shulin	PROPN
ajst-14945	175	11	li	li	PROPN
ajst-14945	175	12	,	,	PUNCT
ajst-14945	175	13	jiaxin	jiaxin	PROPN
ajst-14945	175	14	huang	huang	PROPN
ajst-14945	175	15	,	,	PUNCT
ajst-14945	175	16	and	and	CCONJ
ajst-14945	175	17	hao	hao	PROPN
ajst-14945	175	18	hu	hu	PROPN
ajst-14945	175	19	.	.	PUNCT
ajst-14945	176	1	deep	deep	ADJ
ajst-14945	176	2	learning	learning	NOUN
ajst-14945	176	3	for	for	ADP
ajst-14945	176	4	precise	precise	ADJ
ajst-14945	176	5	robot	robot	NOUN
ajst-14945	176	6	position	position	NOUN
ajst-14945	176	7	prediction	prediction	NOUN
ajst-14945	176	8	in	in	ADP
ajst-14945	176	9	logistics	logistic	NOUN
ajst-14945	176	10	.	.	PUNCT
ajst-14945	177	1	journal	journal	PROPN
ajst-14945	177	2	of	of	ADP
ajst-14945	177	3	theory	theory	NOUN
ajst-14945	177	4	and	and	CCONJ
ajst-14945	177	5	practice	practice	NOUN
ajst-14945	177	6	of	of	ADP
ajst-14945	177	7	engineering	engineering	NOUN
ajst-14945	177	8	science	science	NOUN
ajst-14945	177	9	,	,	PUNCT
ajst-14945	177	10	3(10):36–41	3(10):36–41	NUM
ajst-14945	177	11	,	,	PUNCT
ajst-14945	177	12	2023.doi	2023.doi	NUM
ajst-14945	177	13	:	:	PUNCT
ajst-14945	177	14	10.48550	10.48550	NUM
ajst-14945	177	15	/	/	SYM
ajst-14945	177	16	jtpes.2023.03.10.0036	jtpes.2023.03.10.0036	NOUN
ajst-14945	178	1	[	[	X
ajst-14945	178	2	12	12	NUM
ajst-14945	178	3	]	]	X
ajst-14945	178	4	hao	hao	PROPN
ajst-14945	178	5	hu	hu	PROPN
ajst-14945	178	6	,	,	PUNCT
ajst-14945	178	7	shulin	shulin	PROPN
ajst-14945	178	8	li	li	PROPN
ajst-14945	178	9	,	,	PUNCT
ajst-14945	178	10	jiaxin	jiaxin	PROPN
ajst-14945	178	11	huang	huang	PROPN
ajst-14945	178	12	,	,	PUNCT
ajst-14945	178	13	bo	bo	PROPN
ajst-14945	178	14	liu	liu	PROPN
ajst-14945	178	15	,	,	PUNCT
ajst-14945	178	16	and	and	CCONJ
ajst-14945	178	17	change	change	VERB
ajst-14945	178	18	che	che	PROPN
ajst-14945	178	19	.	.	PUNCT
ajst-14945	179	1	casting	cast	VERB
ajst-14945	179	2	product	product	NOUN
ajst-14945	179	3	image	image	NOUN
ajst-14945	179	4	data	datum	NOUN
ajst-14945	179	5	for	for	ADP
ajst-14945	179	6	quality	quality	NOUN
ajst-14945	179	7	inspection	inspection	NOUN
ajst-14945	179	8	with	with	ADP
ajst-14945	179	9	xception	xception	NOUN
ajst-14945	179	10	and	and	CCONJ
ajst-14945	179	11	data	datum	NOUN
ajst-14945	179	12	augmentation	augmentation	NOUN
ajst-14945	179	13	.	.	PUNCT
ajst-14945	180	1	journal	journal	PROPN
ajst-14945	180	2	of	of	ADP
ajst-14945	180	3	theory	theory	NOUN
ajst-14945	180	4	and	and	CCONJ
ajst-14945	180	5	practice	practice	NOUN
ajst-14945	180	6	of	of	ADP
ajst-14945	180	7	engineering	engineering	NOUN
ajst-14945	180	8	science	science	NOUN
ajst-14945	180	9	,	,	PUNCT
ajst-14945	180	10	3(10):42–46	3(10):42–46	NUM
ajst-14945	180	11	,	,	PUNCT
ajst-14945	180	12	2023.doi	2023.doi	NUM
ajst-14945	180	13	:	:	PUNCT
ajst-14945	180	14	10.48550	10.48550	NUM
ajst-14945	180	15	/	/	SYM
ajst-14945	180	16	jtpes.2023.03.10.0042	jtpes.2023.03.10.0042	NOUN
ajst-14945	180	17	.	.	PUNCT
ajst-14945	181	1	[	[	X
ajst-14945	181	2	13	13	NUM
ajst-14945	181	3	]	]	SYM
ajst-14945	181	4	tianbo	tianbo	NOUN
ajst-14945	181	5	,	,	PUNCT
ajst-14945	181	6	song	song	NOUN
ajst-14945	181	7	,	,	PUNCT
ajst-14945	181	8	hu	hu	PROPN
ajst-14945	181	9	weijun	weijun	PROPN
ajst-14945	181	10	,	,	PUNCT
ajst-14945	181	11	cai	cai	PROPN
ajst-14945	181	12	jiangfeng	jiangfeng	PROPN
ajst-14945	181	13	,	,	PUNCT
ajst-14945	181	14	liu	liu	PROPN
ajst-14945	181	15	weijia	weijia	PROPN
ajst-14945	181	16	,	,	PUNCT
ajst-14945	181	17	yuan	yuan	PROPN
ajst-14945	181	18	quan	quan	PROPN
ajst-14945	181	19	,	,	PUNCT
ajst-14945	181	20	and	and	CCONJ
ajst-14945	181	21	he	he	PRON
ajst-14945	181	22	kun	kun	NOUN
ajst-14945	181	23	.	.	PUNCT
ajst-14945	182	1	"	"	PUNCT
ajst-14945	182	2	bio	bio	ADJ
ajst-14945	182	3	-	-	PUNCT
ajst-14945	182	4	inspired	inspired	ADJ
ajst-14945	182	5	swarm	swarm	NOUN
ajst-14945	182	6	intelligence	intelligence	NOUN
ajst-14945	182	7	:	:	PUNCT
ajst-14945	182	8	a	a	DET
ajst-14945	182	9	flocking	flock	VERB
ajst-14945	182	10	project	project	NOUN
ajst-14945	182	11	with	with	ADP
ajst-14945	182	12	group	group	NOUN
ajst-14945	182	13	object	object	NOUN
ajst-14945	182	14	recognition	recognition	NOUN
ajst-14945	182	15	.	.	PUNCT
ajst-14945	182	16	"	"	PUNCT
ajst-14945	183	1	in	in	ADP
ajst-14945	183	2	2023	2023	NUM
ajst-14945	183	3	3rd	3rd	ADJ
ajst-14945	183	4	international	international	ADJ
ajst-14945	183	5	conference	conference	NOUN
ajst-14945	183	6	on	on	ADP
ajst-14945	183	7	consumer	consumer	NOUN
ajst-14945	183	8	electronics	electronic	NOUN
ajst-14945	183	9	and	and	CCONJ
ajst-14945	183	10	computer	computer	NOUN
ajst-14945	183	11	engineering	engineering	NOUN
ajst-14945	183	12	(	(	PUNCT
ajst-14945	183	13	iccece	iccece	PROPN
ajst-14945	183	14	)	)	PUNCT
ajst-14945	183	15	,	,	PUNCT
ajst-14945	183	16	pp	pp	PROPN
ajst-14945	183	17	.	.	PUNCT
ajst-14945	184	1	834	834	NUM
ajst-14945	184	2	-	-	SYM
ajst-14945	184	3	837	837	NUM
ajst-14945	184	4	.	.	PUNCT
ajst-14945	185	1	ieee	ieee	NOUN
ajst-14945	185	2	,	,	PUNCT
ajst-14945	185	3	2023.doi：10.1109	2023.doi：10.1109	NUM
ajst-14945	185	4	/	/	SYM
ajst-14945	185	5	iccece.2023.00001	iccece.2023.00001	NOUN
ajst-14945	185	6	[	[	X
ajst-14945	185	7	14	14	NUM
ajst-14945	185	8	]	]	X
ajst-14945	185	9	lin	lin	PROPN
ajst-14945	185	10	,	,	PUNCT
ajst-14945	185	11	q.	q.	PROPN
ajst-14945	185	12	,	,	PUNCT
ajst-14945	185	13	che	che	PROPN
ajst-14945	185	14	,	,	PUNCT
ajst-14945	185	15	c.	c.	PROPN
ajst-14945	185	16	,	,	PUNCT
ajst-14945	185	17	hu	hu	PROPN
ajst-14945	185	18	,	,	PUNCT
ajst-14945	185	19	h.	h.	PROPN
ajst-14945	185	20	,	,	PUNCT
ajst-14945	185	21	zhao	zhao	PROPN
ajst-14945	185	22	,	,	PUNCT
ajst-14945	185	23	x.	x.	PROPN
ajst-14945	185	24	,	,	PUNCT
ajst-14945	185	25	&	&	CCONJ
ajst-14945	185	26	li	li	PROPN
ajst-14945	185	27	,	,	PUNCT
ajst-14945	185	28	s.	s.	PROPN
ajst-14945	185	29	(	(	PUNCT
ajst-14945	185	30	2023	2023	NUM
ajst-14945	185	31	)	)	PUNCT
ajst-14945	185	32	.	.	PUNCT
ajst-14945	186	1	a	a	DET
ajst-14945	186	2	comprehensive	comprehensive	ADJ
ajst-14945	186	3	study	study	NOUN
ajst-14945	186	4	on	on	ADP
ajst-14945	186	5	early	early	PROPN
ajst-14945	186	6	alzheimer	alzheimer	PROPN
ajst-14945	186	7	’s	’s	PART
ajst-14945	186	8	disease	disease	NOUN
ajst-14945	186	9	detection	detection	NOUN
ajst-14945	186	10	through	through	ADP
ajst-14945	186	11	advanced	advanced	ADJ
ajst-14945	186	12	machine	machine	NOUN
ajst-14945	186	13	learning	learn	VERB
ajst-14945	186	14	techniques	technique	NOUN
ajst-14945	186	15	on	on	ADP
ajst-14945	186	16	mri	mri	NOUN
ajst-14945	186	17	data	datum	NOUN
ajst-14945	186	18	.	.	PUNCT
ajst-14945	187	1	academic	academic	ADJ
ajst-14945	187	2	journal	journal	NOUN
ajst-14945	187	3	of	of	ADP
ajst-14945	187	4	science	science	NOUN
ajst-14945	187	5	and	and	CCONJ
ajst-14945	187	6	technology,8(1	technology,8(1	NOUN
ajst-14945	187	7	)	)	PUNCT
ajst-14945	187	8	,	,	PUNCT
ajst-14945	187	9	281	281	NUM
ajst-14945	187	10	–	–	PUNCT
ajst-14945	187	11	285.doi:10.54097	285.doi:10.54097	NUM
ajst-14945	187	12	/	/	SYM
ajst-14945	187	13	ajst.2023.08.01.281	ajst.2023.08.01.281	X
ajst-14945	188	1	[	[	X
ajst-14945	188	2	15	15	NUM
ajst-14945	188	3	]	]	X
ajst-14945	188	4	che	che	X
ajst-14945	188	5	,	,	PUNCT
ajst-14945	188	6	c.	c.	PROPN
ajst-14945	188	7	,	,	PUNCT
ajst-14945	188	8	hu	hu	PROPN
ajst-14945	188	9	,	,	PUNCT
ajst-14945	188	10	h.	h.	PROPN
ajst-14945	188	11	,	,	PUNCT
ajst-14945	188	12	zhao	zhao	PROPN
ajst-14945	188	13	,	,	PUNCT
ajst-14945	188	14	x.	x.	PROPN
ajst-14945	188	15	,	,	PUNCT
ajst-14945	188	16	li	li	PROPN
ajst-14945	188	17	,	,	PUNCT
ajst-14945	188	18	s.	s.	PROPN
ajst-14945	188	19	,	,	PUNCT
ajst-14945	188	20	&	&	CCONJ
ajst-14945	188	21	lin	lin	PROPN
ajst-14945	188	22	,	,	PUNCT
ajst-14945	188	23	q.	q.	PROPN
ajst-14945	188	24	(	(	PUNCT
ajst-14945	188	25	2023	2023	NUM
ajst-14945	188	26	)	)	PUNCT
ajst-14945	188	27	.	.	PUNCT
ajst-14945	189	1	advancing	advance	VERB
ajst-14945	189	2	cancer	cancer	NOUN
ajst-14945	189	3	document	document	NOUN
ajst-14945	189	4	classification	classification	NOUN
ajst-14945	189	5	with	with	ADP
ajst-14945	189	6	r	r	NOUN
ajst-14945	189	7	andom	andom	NOUN
ajst-14945	189	8	forest	forest	NOUN
ajst-14945	189	9	.	.	PUNCT
ajst-14945	190	1	academic	academic	ADJ
ajst-14945	190	2	journal	journal	NOUN
ajst-14945	190	3	of	of	ADP
ajst-14945	190	4	science	science	NOUN
ajst-14945	190	5	and	and	CCONJ
ajst-14945	190	6	technology	technology	NOUN
ajst-14945	190	7	,	,	PUNCT
ajst-14945	190	8	8(1	8(1	NOUN
ajst-14945	190	9	)	)	PUNCT
ajst-14945	190	10	,	,	PUNCT
ajst-14945	190	11	278	278	NUM
ajst-14945	190	12	–	–	PUNCT
ajst-14945	190	13	280.doi:[10.54097	280.doi:[10.54097	NUM
ajst-14945	190	14	/	/	SYM
ajst-14945	190	15	ajst.2023.08.01.278	ajst.2023.08.01.278	NOUN
ajst-14945	190	16	.	.	PUNCT