id	sid	tid	token	lemma	pos
amwa-353	1	1	v39	v39	PROPN
amwa-353	1	2	n2	n2	PROPN
amwa-353	1	3	/	/	SYM
amwa-353	1	4	2024	2024	NUM
amwa-353	1	5	©	©	PROPN
amwa-353	1	6	2024	2024	NUM
amwa-353	1	7	american	american	PROPN
amwa-353	1	8	medical	medical	PROPN
amwa-353	1	9	writers	writers	PROPN
amwa-353	1	10	association	association	PROPN
amwa-353	1	11	.	.	PUNCT
amwa-353	2	1	all	all	DET
amwa-353	2	2	rights	right	NOUN
amwa-353	2	3	reserved	reserve	VERB
amwa-353	2	4	.	.	PUNCT
amwa-353	3	1	issn	issn	PROPN
amwa-353	3	2	2163	2163	NUM
amwa-353	3	3	-	-	SYM
amwa-353	3	4	5315	5315	NUM
amwa-353	3	5	amwajournal.org	amwajournal.org	PROPN
amwa-353	3	6	e1	e1	NOUN
amwa-353	3	7	theme	theme	NOUN
amwa-353	3	8	article	article	NOUN
amwa-353	3	9	this	this	DET
amwa-353	3	10	session	session	NOUN
amwa-353	3	11	provided	provide	VERB
amwa-353	3	12	attendees	attendee	NOUN
amwa-353	3	13	with	with	ADP
amwa-353	3	14	an	an	DET
amwa-353	3	15	overview	overview	NOUN
amwa-353	3	16	of	of	ADP
amwa-353	3	17	the	the	DET
amwa-353	3	18	elements	element	NOUN
amwa-353	3	19	of	of	ADP
amwa-353	3	20	artificial	artificial	ADJ
amwa-353	3	21	intelligence	intelligence	NOUN
amwa-353	3	22	(	(	PUNCT
amwa-353	3	23	ai	ai	NOUN
amwa-353	3	24	)	)	PUNCT
amwa-353	3	25	that	that	SCONJ
amwa-353	3	26	medical	medical	ADJ
amwa-353	3	27	communication	communication	NOUN
amwa-353	3	28	professionals	professional	NOUN
amwa-353	3	29	can	can	AUX
amwa-353	3	30	use	use	VERB
amwa-353	3	31	in	in	ADP
amwa-353	3	32	their	their	PRON
amwa-353	3	33	decision	decision	NOUN
amwa-353	3	34	-	-	PUNCT
amwa-353	3	35	making	making	NOUN
amwa-353	3	36	when	when	SCONJ
amwa-353	3	37	communicating	communicate	VERB
amwa-353	3	38	about	about	ADP
amwa-353	3	39	and	and	CCONJ
amwa-353	3	40	with	with	ADP
amwa-353	3	41	ai	ai	PROPN
amwa-353	3	42	applications	application	NOUN
amwa-353	3	43	.	.	PUNCT
amwa-353	4	1	knowing	know	VERB
amwa-353	4	2	how	how	SCONJ
amwa-353	4	3	to	to	PART
amwa-353	4	4	determine	determine	VERB
amwa-353	4	5	if	if	SCONJ
amwa-353	4	6	an	an	DET
amwa-353	4	7	ai	ai	NOUN
amwa-353	4	8	application	application	NOUN
amwa-353	4	9	is	be	AUX
amwa-353	4	10	reliable	reliable	ADJ
amwa-353	4	11	and	and	CCONJ
amwa-353	4	12	secure	secure	ADJ
amwa-353	4	13	guides	guide	VERB
amwa-353	4	14	the	the	DET
amwa-353	4	15	professional	professional	NOUN
amwa-353	4	16	in	in	ADP
amwa-353	4	17	their	their	PRON
amwa-353	4	18	assessment	assessment	NOUN
amwa-353	4	19	of	of	ADP
amwa-353	4	20	applications	application	NOUN
amwa-353	4	21	they	they	PRON
amwa-353	4	22	write	write	VERB
amwa-353	4	23	about	about	ADP
amwa-353	4	24	and	and	CCONJ
amwa-353	4	25	their	their	PRON
amwa-353	4	26	choice	choice	NOUN
amwa-353	4	27	of	of	ADP
amwa-353	4	28	applications	application	NOUN
amwa-353	4	29	they	they	PRON
amwa-353	4	30	use	use	VERB
amwa-353	4	31	in	in	ADP
amwa-353	4	32	their	their	PRON
amwa-353	4	33	practice	practice	NOUN
amwa-353	4	34	.	.	PUNCT
amwa-353	5	1	in	in	ADP
amwa-353	5	2	turn	turn	NOUN
amwa-353	5	3	,	,	PUNCT
amwa-353	5	4	this	this	DET
amwa-353	5	5	ability	ability	NOUN
amwa-353	5	6	to	to	PART
amwa-353	5	7	assess	assess	VERB
amwa-353	5	8	ai	ai	ADJ
amwa-353	5	9	applications	application	NOUN
amwa-353	5	10	underpins	underpin	VERB
amwa-353	5	11	professionals	professional	NOUN
amwa-353	5	12	’	'	PUNCT
amwa-353	5	13	abilities	ability	NOUN
amwa-353	5	14	to	to	PART
amwa-353	5	15	identify	identify	VERB
amwa-353	5	16	and	and	CCONJ
amwa-353	5	17	apply	apply	VERB
amwa-353	5	18	best	good	ADJ
amwa-353	5	19	practices	practice	NOUN
amwa-353	5	20	for	for	ADP
amwa-353	5	21	developing	develop	VERB
amwa-353	5	22	and	and	CCONJ
amwa-353	5	23	writing	write	VERB
amwa-353	5	24	about	about	ADP
amwa-353	5	25	ai	ai	VERB
amwa-353	5	26	.	.	PROPN
amwa-353	6	1	taken	take	VERB
amwa-353	6	2	together	together	ADV
amwa-353	6	3	,	,	PUNCT
amwa-353	6	4	this	this	DET
amwa-353	6	5	understanding	understanding	NOUN
amwa-353	6	6	of	of	ADP
amwa-353	6	7	how	how	SCONJ
amwa-353	6	8	ai	ai	VERB
amwa-353	6	9	works	work	NOUN
amwa-353	6	10	,	,	PUNCT
amwa-353	6	11	how	how	SCONJ
amwa-353	6	12	applications	application	NOUN
amwa-353	6	13	are	be	AUX
amwa-353	6	14	developed	develop	VERB
amwa-353	6	15	,	,	PUNCT
amwa-353	6	16	and	and	CCONJ
amwa-353	6	17	how	how	SCONJ
amwa-353	6	18	to	to	PART
amwa-353	6	19	identify	identify	VERB
amwa-353	6	20	and	and	CCONJ
amwa-353	6	21	ethically	ethically	ADV
amwa-353	6	22	apply	apply	VERB
amwa-353	6	23	best	good	ADJ
amwa-353	6	24	practices	practice	NOUN
amwa-353	6	25	will	will	AUX
amwa-353	6	26	guide	guide	VERB
amwa-353	6	27	professionals	professional	NOUN
amwa-353	6	28	in	in	ADP
amwa-353	6	29	their	their	PRON
amwa-353	6	30	communication	communication	NOUN
amwa-353	6	31	about	about	ADP
amwa-353	6	32	and	and	CCONJ
amwa-353	6	33	with	with	ADP
amwa-353	6	34	ai	ai	PROPN
amwa-353	6	35	applications	application	NOUN
amwa-353	6	36	.	.	PUNCT
amwa-353	7	1	ai	ai	VERB
amwa-353	7	2	fundamentals	fundamental	NOUN
amwa-353	7	3	the	the	DET
amwa-353	7	4	field	field	NOUN
amwa-353	7	5	of	of	ADP
amwa-353	7	6	ai	ai	INTJ
amwa-353	7	7	emerged	emerge	VERB
amwa-353	7	8	in	in	ADP
amwa-353	7	9	the	the	DET
amwa-353	7	10	early	early	ADJ
amwa-353	7	11	1940s	1940	NOUN
amwa-353	7	12	,	,	PUNCT
amwa-353	7	13	and	and	CCONJ
amwa-353	7	14	one	one	NUM
amwa-353	7	15	touchstone	touchstone	NOUN
amwa-353	7	16	of	of	ADP
amwa-353	7	17	the	the	DET
amwa-353	7	18	field	field	NOUN
amwa-353	7	19	,	,	PUNCT
amwa-353	7	20	the	the	DET
amwa-353	7	21	turing	ture	VERB
amwa-353	7	22	test	test	NOUN
amwa-353	7	23	of	of	ADP
amwa-353	7	24	machine	machine	NOUN
amwa-353	7	25	intelligence	intelligence	NOUN
amwa-353	7	26	(	(	PUNCT
amwa-353	7	27	designed	design	VERB
amwa-353	7	28	to	to	PART
amwa-353	7	29	determine	determine	VERB
amwa-353	7	30	if	if	SCONJ
amwa-353	7	31	a	a	DET
amwa-353	7	32	machine	machine	NOUN
amwa-353	7	33	can	can	AUX
amwa-353	7	34	think	think	VERB
amwa-353	7	35	like	like	SCONJ
amwa-353	7	36	a	a	DET
amwa-353	7	37	human)1	human)1	NOUN
amwa-353	7	38	dates	date	VERB
amwa-353	7	39	to	to	ADP
amwa-353	7	40	1950	1950	NUM
amwa-353	7	41	.	.	PUNCT
amwa-353	8	1	although	although	SCONJ
amwa-353	8	2	initially	initially	ADV
amwa-353	8	3	considered	consider	VERB
amwa-353	8	4	a	a	DET
amwa-353	8	5	single	single	ADJ
amwa-353	8	6	field	field	NOUN
amwa-353	8	7	of	of	ADP
amwa-353	8	8	research	research	NOUN
amwa-353	8	9	,	,	PUNCT
amwa-353	8	10	in	in	ADP
amwa-353	8	11	the	the	DET
amwa-353	8	12	intervening	intervene	VERB
amwa-353	8	13	decades	decade	NOUN
amwa-353	8	14	,	,	PUNCT
amwa-353	8	15	researchers	researcher	NOUN
amwa-353	8	16	have	have	AUX
amwa-353	8	17	split	split	VERB
amwa-353	8	18	the	the	DET
amwa-353	8	19	study	study	NOUN
amwa-353	8	20	of	of	ADP
amwa-353	8	21	ai	ai	VERB
amwa-353	8	22	across	across	ADP
amwa-353	8	23	multiple	multiple	ADJ
amwa-353	8	24	domains	domain	NOUN
amwa-353	8	25	involving	involve	VERB
amwa-353	8	26	myriad	myriad	ADJ
amwa-353	8	27	disciplines	discipline	NOUN
amwa-353	8	28	.	.	PUNCT
amwa-353	9	1	as	as	ADP
amwa-353	9	2	a	a	DET
amwa-353	9	3	result	result	NOUN
amwa-353	9	4	,	,	PUNCT
amwa-353	9	5	ai	ai	INTJ
amwa-353	9	6	is	be	AUX
amwa-353	9	7	defined	define	VERB
amwa-353	9	8	many	many	ADJ
amwa-353	9	9	ways	way	NOUN
amwa-353	9	10	,	,	PUNCT
amwa-353	9	11	but	but	CCONJ
amwa-353	9	12	2	2	NUM
amwa-353	9	13	particularly	particularly	ADV
amwa-353	9	14	salient	salient	ADJ
amwa-353	9	15	definitions	definition	NOUN
amwa-353	9	16	are	be	AUX
amwa-353	9	17	(	(	PUNCT
amwa-353	9	18	1	1	X
amwa-353	9	19	)	)	PUNCT
amwa-353	9	20	a	a	DET
amwa-353	9	21	machine	machine	NOUN
amwa-353	9	22	performing	perform	VERB
amwa-353	9	23	a	a	DET
amwa-353	9	24	task	task	NOUN
amwa-353	9	25	requiring	require	VERB
amwa-353	9	26	human	human	ADJ
amwa-353	9	27	intelligence	intelligence	NOUN
amwa-353	9	28	and	and	CCONJ
amwa-353	9	29	(	(	PUNCT
amwa-353	9	30	2	2	X
amwa-353	9	31	)	)	PUNCT
amwa-353	9	32	a	a	DET
amwa-353	9	33	machine	machine	NOUN
amwa-353	9	34	replicating	replicate	VERB
amwa-353	9	35	human	human	ADJ
amwa-353	9	36	intelligence	intelligence	NOUN
amwa-353	9	37	.	.	PUNCT
amwa-353	10	1	both	both	DET
amwa-353	10	2	definitions	definition	NOUN
amwa-353	10	3	,	,	PUNCT
amwa-353	10	4	like	like	ADP
amwa-353	10	5	the	the	DET
amwa-353	10	6	turing	ture	VERB
amwa-353	10	7	test	test	NOUN
amwa-353	10	8	,	,	PUNCT
amwa-353	10	9	evaluate	evaluate	VERB
amwa-353	10	10	ai	ai	NOUN
amwa-353	10	11	in	in	ADP
amwa-353	10	12	the	the	DET
amwa-353	10	13	context	context	NOUN
amwa-353	10	14	of	of	ADP
amwa-353	10	15	human	human	ADJ
amwa-353	10	16	intelligence	intelligence	NOUN
amwa-353	10	17	(	(	PUNCT
amwa-353	10	18	including	include	VERB
amwa-353	10	19	behavior	behavior	NOUN
amwa-353	10	20	)	)	PUNCT
amwa-353	10	21	;	;	PUNCT
amwa-353	10	22	however	however	ADV
amwa-353	10	23	,	,	PUNCT
amwa-353	10	24	the	the	DET
amwa-353	10	25	ai	ai	ADJ
amwa-353	10	26	applications	application	NOUN
amwa-353	10	27	that	that	PRON
amwa-353	10	28	have	have	AUX
amwa-353	10	29	been	be	AUX
amwa-353	10	30	developed	develop	VERB
amwa-353	10	31	thus	thus	ADV
amwa-353	10	32	far	far	ADV
amwa-353	10	33	lack	lack	VERB
amwa-353	10	34	human	human	ADJ
amwa-353	10	35	traits	trait	NOUN
amwa-353	10	36	,	,	PUNCT
amwa-353	10	37	such	such	ADJ
amwa-353	10	38	as	as	ADP
amwa-353	10	39	empathy	empathy	NOUN
amwa-353	10	40	and	and	CCONJ
amwa-353	10	41	creativity	creativity	NOUN
amwa-353	10	42	,	,	PUNCT
amwa-353	10	43	and	and	CCONJ
amwa-353	10	44	human	human	ADJ
amwa-353	10	45	reasoning	reasoning	NOUN
amwa-353	10	46	in	in	ADP
amwa-353	10	47	the	the	DET
amwa-353	10	48	frameworks	framework	NOUN
amwa-353	10	49	of	of	ADP
amwa-353	10	50	ethics	ethic	NOUN
amwa-353	10	51	and	and	CCONJ
amwa-353	10	52	complex	complex	ADJ
amwa-353	10	53	strategy	strategy	NOUN
amwa-353	10	54	.	.	PUNCT
amwa-353	11	1	machine	machine	NOUN
amwa-353	11	2	learning	learn	VERB
amwa-353	11	3	machine	machine	NOUN
amwa-353	11	4	learning	learning	NOUN
amwa-353	11	5	(	(	PUNCT
amwa-353	11	6	ml	ml	NOUN
amwa-353	11	7	)	)	PUNCT
amwa-353	11	8	underpins	underpin	VERB
amwa-353	11	9	many	many	ADJ
amwa-353	11	10	of	of	ADP
amwa-353	11	11	the	the	DET
amwa-353	11	12	ai	ai	ADJ
amwa-353	11	13	applications	application	NOUN
amwa-353	11	14	that	that	PRON
amwa-353	11	15	medical	medical	ADJ
amwa-353	11	16	communicators	communicator	NOUN
amwa-353	11	17	will	will	AUX
amwa-353	11	18	communicate	communicate	VERB
amwa-353	11	19	about	about	ADP
amwa-353	11	20	and	and	CCONJ
amwa-353	11	21	with	with	ADP
amwa-353	11	22	.	.	PUNCT
amwa-353	12	1	patient	patient	ADJ
amwa-353	12	2	triage	triage	NOUN
amwa-353	12	3	,	,	PUNCT
amwa-353	12	4	hospital	hospital	NOUN
amwa-353	12	5	management	management	NOUN
amwa-353	12	6	,	,	PUNCT
amwa-353	12	7	and	and	CCONJ
amwa-353	12	8	imaging	imaging	NOUN
amwa-353	12	9	applications	application	NOUN
amwa-353	12	10	approved	approve	VERB
amwa-353	12	11	by	by	ADP
amwa-353	12	12	the	the	DET
amwa-353	12	13	us	us	PROPN
amwa-353	12	14	food	food	NOUN
amwa-353	12	15	and	and	CCONJ
amwa-353	12	16	drug	drug	PROPN
amwa-353	12	17	administration	administration	NOUN
amwa-353	12	18	use	use	NOUN
amwa-353	12	19	ml	ml	VERB
amwa-353	12	20	.	.	PUNCT
amwa-353	13	1	what	what	PRON
amwa-353	13	2	makes	make	VERB
amwa-353	13	3	ml	ml	NOUN
amwa-353	13	4	applications	application	NOUN
amwa-353	13	5	different	different	ADJ
amwa-353	13	6	from	from	ADP
amwa-353	13	7	traditional	traditional	ADJ
amwa-353	13	8	software	software	NOUN
amwa-353	13	9	applications	application	NOUN
amwa-353	13	10	is	be	AUX
amwa-353	13	11	that	that	SCONJ
amwa-353	13	12	most	most	ADJ
amwa-353	13	13	ml	ml	NOUN
amwa-353	13	14	does	do	AUX
amwa-353	13	15	not	not	PART
amwa-353	13	16	use	use	VERB
amwa-353	13	17	explicit	explicit	ADJ
amwa-353	13	18	or	or	CCONJ
amwa-353	13	19	rule	rule	NOUN
amwa-353	13	20	-	-	PUNCT
amwa-353	13	21	based	base	VERB
amwa-353	13	22	programming	programming	NOUN
amwa-353	13	23	.	.	PUNCT
amwa-353	14	1	in	in	ADP
amwa-353	14	2	explicit	explicit	ADJ
amwa-353	14	3	programming	programming	NOUN
amwa-353	14	4	,	,	PUNCT
amwa-353	14	5	a	a	DET
amwa-353	14	6	program	program	NOUN
amwa-353	14	7	gives	give	VERB
amwa-353	14	8	the	the	DET
amwa-353	14	9	computer	computer	NOUN
amwa-353	14	10	specific	specific	ADJ
amwa-353	14	11	commands	command	NOUN
amwa-353	14	12	or	or	CCONJ
amwa-353	14	13	lines	line	NOUN
amwa-353	14	14	of	of	ADP
amwa-353	14	15	code	code	NOUN
amwa-353	14	16	,	,	PUNCT
amwa-353	14	17	that	that	ADV
amwa-353	14	18	is	is	ADV
amwa-353	14	19	,	,	PUNCT
amwa-353	14	20	the	the	DET
amwa-353	14	21	function	function	NOUN
amwa-353	14	22	.	.	PUNCT
amwa-353	15	1	ml	ml	AUX
amwa-353	15	2	uses	use	VERB
amwa-353	15	3	statistical	statistical	ADJ
amwa-353	15	4	and	and	CCONJ
amwa-353	15	5	mathematical	mathematical	ADJ
amwa-353	15	6	modeling	modeling	NOUN
amwa-353	15	7	and	and	CCONJ
amwa-353	15	8	incredible	incredible	ADJ
amwa-353	15	9	volumes	volume	NOUN
amwa-353	15	10	of	of	ADP
amwa-353	15	11	data	datum	NOUN
amwa-353	15	12	to	to	PART
amwa-353	15	13	learn	learn	VERB
amwa-353	15	14	relationships	relationship	NOUN
amwa-353	15	15	between	between	ADP
amwa-353	15	16	variables	variable	NOUN
amwa-353	15	17	,	,	PUNCT
amwa-353	15	18	that	that	ADV
amwa-353	15	19	is	is	ADV
amwa-353	15	20	,	,	PUNCT
amwa-353	15	21	it	it	PRON
amwa-353	15	22	determines	determine	VERB
amwa-353	15	23	the	the	DET
amwa-353	15	24	function	function	NOUN
amwa-353	15	25	.	.	PUNCT
amwa-353	16	1	the	the	DET
amwa-353	16	2	model	model	NOUN
amwa-353	16	3	learns	learn	VERB
amwa-353	16	4	and	and	CCONJ
amwa-353	16	5	refines	refine	VERB
amwa-353	16	6	itself	itself	PRON
amwa-353	16	7	as	as	SCONJ
amwa-353	16	8	it	it	PRON
amwa-353	16	9	ingests	ingest	VERB
amwa-353	16	10	and	and	CCONJ
amwa-353	16	11	processes	process	VERB
amwa-353	16	12	data	datum	NOUN
amwa-353	16	13	.	.	PUNCT
amwa-353	17	1	some	some	DET
amwa-353	17	2	common	common	ADJ
amwa-353	17	3	models	model	NOUN
amwa-353	17	4	used	use	VERB
amwa-353	17	5	in	in	ADP
amwa-353	17	6	ml	ml	NOUN
amwa-353	17	7	include	include	VERB
amwa-353	17	8	linear	linear	PROPN
amwa-353	17	9	regression	regression	NOUN
amwa-353	17	10	,	,	PUNCT
amwa-353	17	11	logistic	logistic	ADJ
amwa-353	17	12	regression	regression	NOUN
amwa-353	17	13	,	,	PUNCT
amwa-353	17	14	bayesian	bayesian	NOUN
amwa-353	17	15	algorithms	algorithm	NOUN
amwa-353	17	16	,	,	PUNCT
amwa-353	17	17	and	and	CCONJ
amwa-353	17	18	decision	decision	NOUN
amwa-353	17	19	trees.2	trees.2	NOUN
amwa-353	17	20	deep	deep	ADJ
amwa-353	17	21	learning	learning	NOUN
amwa-353	17	22	and	and	CCONJ
amwa-353	17	23	generative	generative	ADJ
amwa-353	17	24	pretrained	pretraine	VERB
amwa-353	17	25	transformer	transformer	NOUN
amwa-353	17	26	applications	application	NOUN
amwa-353	17	27	deep	deep	ADJ
amwa-353	17	28	learning	learning	NOUN
amwa-353	17	29	(	(	PUNCT
amwa-353	17	30	dl	dl	PROPN
amwa-353	17	31	)	)	PUNCT
amwa-353	17	32	,	,	PUNCT
amwa-353	17	33	a	a	DET
amwa-353	17	34	type	type	NOUN
amwa-353	17	35	of	of	ADP
amwa-353	17	36	ml	ml	NOUN
amwa-353	17	37	that	that	PRON
amwa-353	17	38	uses	use	VERB
amwa-353	17	39	an	an	DET
amwa-353	17	40	artificial	artificial	ADJ
amwa-353	17	41	neural	neural	ADJ
amwa-353	17	42	network	network	NOUN
amwa-353	17	43	modeled	model	VERB
amwa-353	17	44	on	on	ADP
amwa-353	17	45	the	the	DET
amwa-353	17	46	human	human	ADJ
amwa-353	17	47	brain	brain	NOUN
amwa-353	17	48	and	and	CCONJ
amwa-353	17	49	designed	design	VERB
amwa-353	17	50	to	to	PART
amwa-353	17	51	emulate	emulate	VERB
amwa-353	17	52	human	human	ADJ
amwa-353	17	53	processing	processing	NOUN
amwa-353	17	54	,	,	PUNCT
amwa-353	17	55	uses	use	VERB
amwa-353	17	56	layers	layer	NOUN
amwa-353	17	57	of	of	ADP
amwa-353	17	58	connected	connected	ADJ
amwa-353	17	59	nodes	node	NOUN
amwa-353	17	60	that	that	PRON
amwa-353	17	61	process	process	VERB
amwa-353	17	62	information	information	NOUN
amwa-353	17	63	and	and	CCONJ
amwa-353	17	64	pass	pass	VERB
amwa-353	17	65	the	the	DET
amwa-353	17	66	transformed	transform	VERB
amwa-353	17	67	data	datum	NOUN
amwa-353	17	68	up	up	ADP
amwa-353	17	69	to	to	ADP
amwa-353	17	70	the	the	DET
amwa-353	17	71	next	next	ADJ
amwa-353	17	72	layer	layer	NOUN
amwa-353	17	73	.	.	PUNCT
amwa-353	18	1	it	it	PRON
amwa-353	18	2	learns	learn	VERB
amwa-353	18	3	from	from	ADP
amwa-353	18	4	itself	itself	PRON
amwa-353	18	5	and	and	CCONJ
amwa-353	18	6	can	can	AUX
amwa-353	18	7	create	create	VERB
amwa-353	18	8	new	new	ADJ
amwa-353	18	9	features	feature	NOUN
amwa-353	18	10	on	on	ADP
amwa-353	18	11	its	its	PRON
amwa-353	18	12	own	own	ADJ
amwa-353	18	13	.	.	PUNCT
amwa-353	19	1	it	it	PRON
amwa-353	19	2	can	can	AUX
amwa-353	19	3	learn	learn	VERB
amwa-353	19	4	nonlinear	nonlinear	ADJ
amwa-353	19	5	,	,	PUNCT
amwa-353	19	6	high	high	ADJ
amwa-353	19	7	-	-	PUNCT
amwa-353	19	8	dimensional	dimensional	ADJ
amwa-353	19	9	relationships	relationship	NOUN
amwa-353	19	10	from	from	ADP
amwa-353	19	11	data	datum	NOUN
amwa-353	19	12	that	that	PRON
amwa-353	19	13	are	be	AUX
amwa-353	19	14	not	not	PART
amwa-353	19	15	just	just	ADV
amwa-353	19	16	unstructured	unstructured	ADJ
amwa-353	19	17	but	but	CCONJ
amwa-353	19	18	multimodal	multimodal	ADJ
amwa-353	19	19	.	.	PUNCT
amwa-353	20	1	throw	throw	VERB
amwa-353	20	2	it	it	PRON
amwa-353	20	3	all	all	PRON
amwa-353	20	4	in	in	ADP
amwa-353	20	5	the	the	DET
amwa-353	20	6	mix	mix	NOUN
amwa-353	20	7	—	—	PUNCT
amwa-353	20	8	imaging	imaging	NOUN
amwa-353	20	9	,	,	PUNCT
amwa-353	20	10	biometrics	biometric	NOUN
amwa-353	20	11	,	,	PUNCT
amwa-353	20	12	audio	audio	NOUN
amwa-353	20	13	,	,	PUNCT
amwa-353	20	14	visual	visual	ADJ
amwa-353	20	15	,	,	PUNCT
amwa-353	20	16	and	and	CCONJ
amwa-353	20	17	time	time	NOUN
amwa-353	20	18	series	series	PROPN
amwa-353	20	19	data	data	PROPN
amwa-353	20	20	.	.	PUNCT
amwa-353	21	1	dl	dl	PROPN
amwa-353	21	2	applications	application	NOUN
amwa-353	21	3	include	include	VERB
amwa-353	21	4	target	target	NOUN
amwa-353	21	5	validation	validation	NOUN
amwa-353	21	6	,	,	PUNCT
amwa-353	21	7	identification	identification	NOUN
amwa-353	21	8	of	of	ADP
amwa-353	21	9	prognostic	prognostic	ADJ
amwa-353	21	10	biomarkers	biomarker	NOUN
amwa-353	21	11	,	,	PUNCT
amwa-353	21	12	analysis	analysis	NOUN
amwa-353	21	13	of	of	ADP
amwa-353	21	14	digital	digital	ADJ
amwa-353	21	15	pathology	pathology	NOUN
amwa-353	21	16	ct	ct	PROPN
amwa-353	21	17	data	data	PROPN
amwa-353	21	18	,	,	PUNCT
amwa-353	21	19	and	and	CCONJ
amwa-353	21	20	generative	generative	ADJ
amwa-353	21	21	pretrained	pretraine	VERB
amwa-353	21	22	transformer	transformer	NOUN
amwa-353	21	23	applications	application	NOUN
amwa-353	21	24	(	(	PUNCT
amwa-353	21	25	gpts	gpt	NOUN
amwa-353	21	26	)	)	PUNCT
amwa-353	21	27	.	.	PUNCT
amwa-353	22	1	j.	j.	PROPN
amwa-353	22	2	kelly	kelly	PROPN
amwa-353	22	3	byram	byram	PROPN
amwa-353	22	4	,	,	PUNCT
amwa-353	22	5	ms	ms	PROPN
amwa-353	22	6	,	,	PUNCT
amwa-353	22	7	mba	mba	NOUN
amwa-353	22	8	,	,	PUNCT
amwa-353	22	9	els	els	NOUN
amwa-353	22	10	/	/	SYM
amwa-353	22	11	founder	founder	NOUN
amwa-353	22	12	and	and	CCONJ
amwa-353	22	13	ceo	ceo	NOUN
amwa-353	22	14	,	,	PUNCT
amwa-353	22	15	duke	duke	PROPN
amwa-353	22	16	city	city	PROPN
amwa-353	22	17	consulting	consulting	PROPN
amwa-353	22	18	,	,	PUNCT
amwa-353	22	19	llc	llc	PROPN
amwa-353	22	20	,	,	PUNCT
amwa-353	22	21	albuquerque	albuquerque	PROPN
amwa-353	22	22	,	,	PUNCT
amwa-353	22	23	nm	nm	NOUN
amwa-353	22	24	communicating	communicate	VERB
amwa-353	22	25	about	about	ADP
amwa-353	22	26	and	and	CCONJ
amwa-353	22	27	with	with	ADP
amwa-353	22	28	artificial	artificial	ADJ
amwa-353	22	29	intelligence	intelligence	NOUN
amwa-353	22	30	applications	application	NOUN
amwa-353	22	31	*	*	PUNCT
amwa-353	22	32	this	this	DET
amwa-353	22	33	article	article	NOUN
amwa-353	22	34	is	be	AUX
amwa-353	22	35	based	base	VERB
amwa-353	22	36	on	on	ADP
amwa-353	22	37	the	the	DET
amwa-353	22	38	presentation	presentation	NOUN
amwa-353	22	39	communicating	communicate	VERB
amwa-353	22	40	about	about	ADP
amwa-353	22	41	and	and	CCONJ
amwa-353	22	42	with	with	ADP
amwa-353	22	43	artificial	artificial	ADJ
amwa-353	22	44	intelligence	intelligence	NOUN
amwa-353	22	45	applications	application	NOUN
amwa-353	22	46	by	by	ADP
amwa-353	22	47	j.	j.	PROPN
amwa-353	22	48	kelly	kelly	PROPN
amwa-353	22	49	byram	byram	PROPN
amwa-353	22	50	,	,	PUNCT
amwa-353	22	51	ms	ms	PROPN
amwa-353	22	52	,	,	PUNCT
amwa-353	22	53	mba	mba	NOUN
amwa-353	22	54	,	,	PUNCT
amwa-353	22	55	els	el	NOUN
amwa-353	22	56	,	,	PUNCT
amwa-353	22	57	at	at	ADP
amwa-353	22	58	amwa	amwa	PROPN
amwa-353	22	59	’s	’s	PART
amwa-353	22	60	2023	2023	NUM
amwa-353	22	61	medical	medical	ADJ
amwa-353	22	62	writing	writing	NOUN
amwa-353	22	63	&	&	CCONJ
amwa-353	22	64	communication	communication	NOUN
amwa-353	22	65	conference	conference	NOUN
amwa-353	22	66	.	.	PUNCT
amwa-353	23	1	editor	editor	NOUN
amwa-353	23	2	’s	’s	PART
amwa-353	23	3	note	note	VERB
amwa-353	23	4	developments	development	NOUN
amwa-353	23	5	in	in	ADP
amwa-353	23	6	artificial	artificial	ADJ
amwa-353	23	7	intelligence	intelligence	NOUN
amwa-353	23	8	(	(	PUNCT
amwa-353	23	9	ai	ai	NOUN
amwa-353	23	10	)	)	PUNCT
amwa-353	23	11	will	will	AUX
amwa-353	23	12	continue	continue	VERB
amwa-353	23	13	to	to	PART
amwa-353	23	14	be	be	AUX
amwa-353	23	15	of	of	ADP
amwa-353	23	16	critical	critical	ADJ
amwa-353	23	17	importance	importance	NOUN
amwa-353	23	18	to	to	ADP
amwa-353	23	19	medical	medical	ADJ
amwa-353	23	20	communicators	communicator	NOUN
amwa-353	23	21	for	for	ADP
amwa-353	23	22	the	the	DET
amwa-353	23	23	foreseeable	foreseeable	ADJ
amwa-353	23	24	future	future	NOUN
amwa-353	23	25	.	.	PUNCT
amwa-353	24	1	accordingly	accordingly	ADV
amwa-353	24	2	,	,	PUNCT
amwa-353	24	3	amwa	amwa	PROPN
amwa-353	24	4	journal	journal	PROPN
amwa-353	24	5	expects	expect	VERB
amwa-353	24	6	to	to	PART
amwa-353	24	7	continue	continue	VERB
amwa-353	24	8	to	to	PART
amwa-353	24	9	feature	feature	VERB
amwa-353	24	10	ai	ai	ADJ
amwa-353	24	11	-	-	PUNCT
amwa-353	24	12	related	relate	VERB
amwa-353	24	13	articles	article	NOUN
amwa-353	24	14	in	in	ADP
amwa-353	24	15	upcoming	upcoming	ADJ
amwa-353	24	16	issues	issue	NOUN
amwa-353	24	17	.	.	PUNCT
amwa-353	25	1	given	give	VERB
amwa-353	25	2	how	how	SCONJ
amwa-353	25	3	rapidly	rapidly	ADV
amwa-353	25	4	advancements	advancement	NOUN
amwa-353	25	5	are	be	AUX
amwa-353	25	6	occurring	occur	VERB
amwa-353	25	7	in	in	ADP
amwa-353	25	8	ai	ai	PROPN
amwa-353	25	9	as	as	SCONJ
amwa-353	25	10	they	they	PRON
amwa-353	25	11	relate	relate	VERB
amwa-353	25	12	to	to	ADP
amwa-353	25	13	medical	medical	ADJ
amwa-353	25	14	communication	communication	NOUN
amwa-353	25	15	,	,	PUNCT
amwa-353	25	16	we	we	PRON
amwa-353	25	17	are	be	AUX
amwa-353	25	18	striving	strive	VERB
amwa-353	25	19	to	to	PART
amwa-353	25	20	be	be	AUX
amwa-353	25	21	as	as	ADV
amwa-353	25	22	timely	timely	ADV
amwa-353	25	23	as	as	ADP
amwa-353	25	24	possible	possible	ADJ
amwa-353	25	25	in	in	ADP
amwa-353	25	26	bringing	bring	VERB
amwa-353	25	27	relevant	relevant	ADJ
amwa-353	25	28	articles	article	NOUN
amwa-353	25	29	to	to	ADP
amwa-353	25	30	you	you	PRON
amwa-353	25	31	.	.	PUNCT
amwa-353	26	1	in	in	ADP
amwa-353	26	2	this	this	DET
amwa-353	26	3	spirit	spirit	NOUN
amwa-353	26	4	,	,	PUNCT
amwa-353	26	5	we	we	PRON
amwa-353	26	6	are	be	AUX
amwa-353	26	7	supplementing	supplement	VERB
amwa-353	26	8	the	the	DET
amwa-353	26	9	summer	summer	NOUN
amwa-353	26	10	2024	2024	NUM
amwa-353	26	11	digital	digital	ADJ
amwa-353	26	12	revolution	revolution	NOUN
amwa-353	26	13	theme	theme	NOUN
amwa-353	26	14	issue	issue	NOUN
amwa-353	26	15	with	with	ADP
amwa-353	26	16	a	a	DET
amwa-353	26	17	timely	timely	ADJ
amwa-353	26	18	article	article	NOUN
amwa-353	26	19	titled	title	VERB
amwa-353	26	20	‘	'	PUNCT
amwa-353	26	21	communicating	communicate	VERB
amwa-353	26	22	about	about	ADP
amwa-353	26	23	and	and	CCONJ
amwa-353	26	24	with	with	ADP
amwa-353	26	25	artificial	artificial	ADJ
amwa-353	26	26	intelligence	intelligence	NOUN
amwa-353	26	27	applications	application	NOUN
amwa-353	26	28	’	'	PUNCT
amwa-353	26	29	by	by	ADP
amwa-353	26	30	j.	j.	PROPN
amwa-353	26	31	kelly	kelly	PROPN
amwa-353	26	32	byram	byram	PROPN
amwa-353	26	33	,	,	PUNCT
amwa-353	26	34	based	base	VERB
amwa-353	26	35	on	on	ADP
amwa-353	26	36	a	a	DET
amwa-353	26	37	presentation	presentation	NOUN
amwa-353	26	38	made	make	VERB
amwa-353	26	39	by	by	ADP
amwa-353	26	40	the	the	DET
amwa-353	26	41	author	author	NOUN
amwa-353	26	42	at	at	ADP
amwa-353	26	43	the	the	DET
amwa-353	26	44	most	most	ADV
amwa-353	26	45	recent	recent	ADJ
amwa-353	26	46	amwa	amwa	PROPN
amwa-353	26	47	medical	medical	ADJ
amwa-353	26	48	writing	writing	NOUN
amwa-353	26	49	&	&	CCONJ
amwa-353	26	50	communication	communication	NOUN
amwa-353	26	51	conference	conference	NOUN
amwa-353	26	52	.	.	PUNCT
amwa-353	26	53	http://www.amwajournal.org	http://www.amwajournal.org	X
amwa-353	27	1	amwajournal.org	amwajournal.org	X
amwa-353	27	2	e2communicating	e2communicate	VERB
amwa-353	27	3	about	about	ADP
amwa-353	27	4	and	and	CCONJ
amwa-353	27	5	with	with	ADP
amwa-353	27	6	artificial	artificial	ADJ
amwa-353	27	7	intelligence	intelligence	NOUN
amwa-353	27	8	applications	application	NOUN
amwa-353	27	9	because	because	SCONJ
amwa-353	27	10	dl	dl	PROPN
amwa-353	27	11	creates	create	VERB
amwa-353	27	12	its	its	PRON
amwa-353	27	13	own	own	ADJ
amwa-353	27	14	algorithms	algorithm	NOUN
amwa-353	27	15	,	,	PUNCT
amwa-353	27	16	the	the	DET
amwa-353	27	17	models	model	NOUN
amwa-353	27	18	and	and	CCONJ
amwa-353	27	19	applications	application	NOUN
amwa-353	27	20	created	create	VERB
amwa-353	27	21	by	by	ADP
amwa-353	27	22	dl	dl	PROPN
amwa-353	27	23	can	can	AUX
amwa-353	27	24	lack	lack	VERB
amwa-353	27	25	transparency	transparency	NOUN
amwa-353	27	26	.	.	PUNCT
amwa-353	28	1	this	this	DET
amwa-353	28	2	black	black	ADJ
amwa-353	28	3	box	box	PROPN
amwa-353	28	4	effect	effect	NOUN
amwa-353	28	5	enhances	enhance	VERB
amwa-353	28	6	a	a	DET
amwa-353	28	7	distrust	distrust	NOUN
amwa-353	28	8	of	of	ADP
amwa-353	28	9	ai	ai	VERB
amwa-353	28	10	in	in	ADP
amwa-353	28	11	many	many	ADJ
amwa-353	28	12	population	population	NOUN
amwa-353	28	13	segments	segment	NOUN
amwa-353	28	14	,	,	PUNCT
amwa-353	28	15	and	and	CCONJ
amwa-353	28	16	60	60	NUM
amwa-353	28	17	%	%	NOUN
amwa-353	28	18	of	of	ADP
amwa-353	28	19	americans	americans	PROPN
amwa-353	28	20	overall	overall	ADJ
amwa-353	28	21	indicated	indicate	VERB
amwa-353	28	22	discomfort	discomfort	NOUN
amwa-353	28	23	with	with	ADP
amwa-353	28	24	the	the	DET
amwa-353	28	25	use	use	NOUN
amwa-353	28	26	of	of	ADP
amwa-353	28	27	ai	ai	VERB
amwa-353	28	28	in	in	ADP
amwa-353	28	29	their	their	PRON
amwa-353	28	30	care.3	care.3	NOUN
amwa-353	28	31	it	it	PRON
amwa-353	28	32	can	can	AUX
amwa-353	28	33	help	help	VERB
amwa-353	28	34	to	to	PART
amwa-353	28	35	keep	keep	VERB
amwa-353	28	36	this	this	DET
amwa-353	28	37	discomfort	discomfort	ADJ
amwa-353	28	38	front	front	NOUN
amwa-353	28	39	of	of	ADP
amwa-353	28	40	mind	mind	NOUN
amwa-353	28	41	when	when	SCONJ
amwa-353	28	42	writing	write	VERB
amwa-353	28	43	for	for	ADP
amwa-353	28	44	lay	lay	ADJ
amwa-353	28	45	audiences	audience	NOUN
amwa-353	28	46	.	.	PUNCT
amwa-353	29	1	state	state	NOUN
amwa-353	29	2	of	of	ADP
amwa-353	29	3	the	the	DET
amwa-353	29	4	science	science	NOUN
amwa-353	29	5	we	we	PRON
amwa-353	29	6	typically	typically	ADV
amwa-353	29	7	divide	divide	VERB
amwa-353	29	8	ai	ai	VERB
amwa-353	29	9	into	into	ADP
amwa-353	29	10	2	2	NUM
amwa-353	29	11	categories	category	NOUN
amwa-353	29	12	:	:	PUNCT
amwa-353	29	13	weak	weak	ADJ
amwa-353	29	14	and	and	CCONJ
amwa-353	29	15	strong	strong	ADJ
amwa-353	29	16	(	(	PUNCT
amwa-353	29	17	figure	figure	NOUN
amwa-353	29	18	1	1	NUM
amwa-353	29	19	)	)	PUNCT
amwa-353	29	20	.	.	PUNCT
amwa-353	30	1	weak	weak	ADJ
amwa-353	30	2	ai	ai	NOUN
amwa-353	30	3	is	be	AUX
amwa-353	30	4	what	what	PRON
amwa-353	30	5	we	we	PRON
amwa-353	30	6	have	have	VERB
amwa-353	30	7	today	today	NOUN
amwa-353	30	8	—	—	PUNCT
amwa-353	30	9	systems	system	NOUN
amwa-353	30	10	or	or	CCONJ
amwa-353	30	11	machines	machine	NOUN
amwa-353	30	12	that	that	PRON
amwa-353	30	13	have	have	AUX
amwa-353	30	14	learned	learn	VERB
amwa-353	30	15	how	how	SCONJ
amwa-353	30	16	to	to	PART
amwa-353	30	17	perform	perform	VERB
amwa-353	30	18	specific	specific	ADJ
amwa-353	30	19	tasks	task	NOUN
amwa-353	30	20	in	in	ADP
amwa-353	30	21	a	a	DET
amwa-353	30	22	way	way	NOUN
amwa-353	30	23	similar	similar	ADJ
amwa-353	30	24	to	to	ADP
amwa-353	30	25	how	how	SCONJ
amwa-353	30	26	a	a	DET
amwa-353	30	27	human	human	NOUN
amwa-353	30	28	would	would	AUX
amwa-353	30	29	perform	perform	VERB
amwa-353	30	30	the	the	DET
amwa-353	30	31	task	task	NOUN
amwa-353	30	32	.	.	PUNCT
amwa-353	31	1	some	some	DET
amwa-353	31	2	systems	system	NOUN
amwa-353	31	3	display	display	VERB
amwa-353	31	4	human	human	ADJ
amwa-353	31	5	intelligence	intelligence	NOUN
amwa-353	31	6	;	;	PUNCT
amwa-353	31	7	that	that	PRON
amwa-353	31	8	is	is	ADV
amwa-353	31	9	,	,	PUNCT
amwa-353	31	10	they	they	PRON
amwa-353	31	11	have	have	VERB
amwa-353	31	12	the	the	DET
amwa-353	31	13	ability	ability	NOUN
amwa-353	31	14	to	to	PART
amwa-353	31	15	learn	learn	VERB
amwa-353	31	16	and	and	CCONJ
amwa-353	31	17	solve	solve	VERB
amwa-353	31	18	some	some	DET
amwa-353	31	19	types	type	NOUN
amwa-353	31	20	of	of	ADP
amwa-353	31	21	problems	problem	NOUN
amwa-353	31	22	,	,	PUNCT
amwa-353	31	23	but	but	CCONJ
amwa-353	31	24	not	not	PART
amwa-353	31	25	all.4	all.4	PROPN
amwa-353	31	26	although	although	SCONJ
amwa-353	31	27	today	today	NOUN
amwa-353	31	28	the	the	DET
amwa-353	31	29	mention	mention	NOUN
amwa-353	31	30	of	of	ADP
amwa-353	31	31	ai	ai	PRON
amwa-353	31	32	elicits	elicit	NOUN
amwa-353	31	33	discussion	discussion	NOUN
amwa-353	31	34	of	of	ADP
amwa-353	31	35	gpt	gpt	NOUN
amwa-353	31	36	applications	application	NOUN
amwa-353	31	37	such	such	ADJ
amwa-353	31	38	as	as	ADP
amwa-353	31	39	chatgpt	chatgpt	NOUN
amwa-353	31	40	,	,	PUNCT
amwa-353	31	41	ai	ai	AUX
amwa-353	31	42	has	have	AUX
amwa-353	31	43	been	be	AUX
amwa-353	31	44	a	a	DET
amwa-353	31	45	part	part	NOUN
amwa-353	31	46	of	of	ADP
amwa-353	31	47	the	the	DET
amwa-353	31	48	knowledge	knowledge	NOUN
amwa-353	31	49	professional	professional	NOUN
amwa-353	31	50	’s	’s	PART
amwa-353	31	51	workflow	workflow	NOUN
amwa-353	31	52	for	for	ADP
amwa-353	31	53	so	so	ADV
amwa-353	31	54	long	long	ADJ
amwa-353	31	55	that	that	SCONJ
amwa-353	31	56	it	it	PRON
amwa-353	31	57	has	have	AUX
amwa-353	31	58	been	be	AUX
amwa-353	31	59	taken	take	VERB
amwa-353	31	60	for	for	ADP
amwa-353	31	61	granted	grant	VERB
amwa-353	31	62	as	as	ADP
amwa-353	31	63	the	the	DET
amwa-353	31	64	power	power	NOUN
amwa-353	31	65	behind	behind	ADP
amwa-353	31	66	search	search	NOUN
amwa-353	31	67	engines	engine	NOUN
amwa-353	31	68	,	,	PUNCT
amwa-353	31	69	spam	spam	NOUN
amwa-353	31	70	filters	filter	NOUN
amwa-353	31	71	,	,	PUNCT
amwa-353	31	72	and	and	CCONJ
amwa-353	31	73	smart	smart	ADJ
amwa-353	31	74	assistants	assistant	NOUN
amwa-353	31	75	such	such	ADJ
amwa-353	31	76	as	as	ADP
amwa-353	31	77	siri	siri	NOUN
amwa-353	31	78	and	and	CCONJ
amwa-353	31	79	alexa	alexa	NOUN
amwa-353	31	80	.	.	PUNCT
amwa-353	32	1	strong	strong	ADJ
amwa-353	32	2	ai	ai	VERB
amwa-353	32	3	,	,	PUNCT
amwa-353	32	4	or	or	CCONJ
amwa-353	32	5	sentience	sentience	NOUN
amwa-353	32	6	,	,	PUNCT
amwa-353	32	7	is	be	AUX
amwa-353	32	8	the	the	DET
amwa-353	32	9	flexible	flexible	ADJ
amwa-353	32	10	intelligence	intelligence	NOUN
amwa-353	32	11	that	that	PRON
amwa-353	32	12	can	can	AUX
amwa-353	32	13	flit	flit	VERB
amwa-353	32	14	from	from	ADP
amwa-353	32	15	one	one	NUM
amwa-353	32	16	type	type	NOUN
amwa-353	32	17	of	of	ADP
amwa-353	32	18	task	task	NOUN
amwa-353	32	19	to	to	ADP
amwa-353	32	20	another	another	PRON
amwa-353	32	21	and	and	CCONJ
amwa-353	32	22	has	have	VERB
amwa-353	32	23	advanced	advanced	ADJ
amwa-353	32	24	reasoning	reasoning	NOUN
amwa-353	32	25	capabilities	capability	NOUN
amwa-353	32	26	.	.	PUNCT
amwa-353	33	1	hal	hal	NOUN
amwa-353	33	2	from	from	ADP
amwa-353	33	3	2001	2001	NUM
amwa-353	33	4	:	:	PUNCT
amwa-353	33	5	a	a	DET
amwa-353	33	6	space	space	NOUN
amwa-353	33	7	odyssey	odyssey	NOUN
amwa-353	33	8	and	and	CCONJ
amwa-353	33	9	skynet	skynet	NOUN
amwa-353	33	10	from	from	ADP
amwa-353	33	11	terminator	terminator	PROPN
amwa-353	33	12	usually	usually	ADV
amwa-353	33	13	come	come	VERB
amwa-353	33	14	to	to	ADP
amwa-353	33	15	mind	mind	NOUN
amwa-353	33	16	when	when	SCONJ
amwa-353	33	17	discussing	discuss	VERB
amwa-353	33	18	this	this	DET
amwa-353	33	19	type	type	NOUN
amwa-353	33	20	of	of	ADP
amwa-353	33	21	ai	ai	NOUN
amwa-353	33	22	.	.	PUNCT
amwa-353	34	1	unlike	unlike	ADP
amwa-353	34	2	siri	siri	NOUN
amwa-353	34	3	and	and	CCONJ
amwa-353	34	4	alexa	alexa	NOUN
amwa-353	34	5	,	,	PUNCT
amwa-353	34	6	references	reference	NOUN
amwa-353	34	7	to	to	ADP
amwa-353	34	8	hal	hal	PROPN
amwa-353	34	9	and	and	CCONJ
amwa-353	34	10	skynet	skynet	PROPN
amwa-353	34	11	usually	usually	ADV
amwa-353	34	12	evoke	evoke	VERB
amwa-353	34	13	fear	fear	NOUN
amwa-353	34	14	and	and	CCONJ
amwa-353	34	15	dystopian	dystopian	ADJ
amwa-353	34	16	angst	angst	NOUN
amwa-353	34	17	.	.	PUNCT
amwa-353	35	1	depending	depend	VERB
amwa-353	35	2	on	on	ADP
amwa-353	35	3	one	one	NUM
amwa-353	35	4	’s	’s	PART
amwa-353	35	5	point	point	NOUN
amwa-353	35	6	of	of	ADP
amwa-353	35	7	view	view	NOUN
amwa-353	35	8	,	,	PUNCT
amwa-353	35	9	strong	strong	ADJ
amwa-353	35	10	ai	ai	VERB
amwa-353	35	11	is	be	AUX
amwa-353	35	12	either	either	CCONJ
amwa-353	35	13	an	an	DET
amwa-353	35	14	aspirational	aspirational	ADJ
amwa-353	35	15	goal	goal	NOUN
amwa-353	35	16	or	or	CCONJ
amwa-353	35	17	an	an	DET
amwa-353	35	18	existential	existential	ADJ
amwa-353	35	19	threat	threat	NOUN
amwa-353	35	20	.	.	PUNCT
amwa-353	36	1	ai	ai	VERB
amwa-353	36	2	in	in	ADP
amwa-353	36	3	health	health	NOUN
amwa-353	36	4	care	care	NOUN
amwa-353	36	5	three	three	NUM
amwa-353	36	6	subfields	subfield	NOUN
amwa-353	36	7	of	of	ADP
amwa-353	36	8	ai	ai	AUX
amwa-353	36	9	more	more	ADV
amwa-353	36	10	commonly	commonly	ADV
amwa-353	36	11	leveraged	leverage	VERB
amwa-353	36	12	in	in	ADP
amwa-353	36	13	health	health	NOUN
amwa-353	36	14	care	care	NOUN
amwa-353	36	15	research	research	NOUN
amwa-353	36	16	and	and	CCONJ
amwa-353	36	17	practice	practice	NOUN
amwa-353	36	18	include	include	VERB
amwa-353	36	19	ml	ml	NOUN
amwa-353	36	20	,	,	PUNCT
amwa-353	36	21	dl	dl	NOUN
amwa-353	36	22	,	,	PUNCT
amwa-353	36	23	and	and	CCONJ
amwa-353	36	24	large	large	ADJ
amwa-353	36	25	language	language	NOUN
amwa-353	36	26	models	model	NOUN
amwa-353	36	27	(	(	PUNCT
amwa-353	36	28	llms	llm	NOUN
amwa-353	36	29	)	)	PUNCT
amwa-353	36	30	as	as	ADP
amwa-353	36	31	gpt	gpt	NOUN
amwa-353	36	32	applications	application	NOUN
amwa-353	36	33	.	.	PUNCT
amwa-353	37	1	these	these	DET
amwa-353	37	2	applications	application	NOUN
amwa-353	37	3	segment	segment	NOUN
amwa-353	37	4	images	image	NOUN
amwa-353	37	5	to	to	PART
amwa-353	37	6	assist	assist	VERB
amwa-353	37	7	in	in	ADP
amwa-353	37	8	the	the	DET
amwa-353	37	9	identification	identification	NOUN
amwa-353	37	10	and	and	CCONJ
amwa-353	37	11	segmentation	segmentation	NOUN
amwa-353	37	12	of	of	ADP
amwa-353	37	13	lesions	lesion	NOUN
amwa-353	37	14	,	,	PUNCT
amwa-353	37	15	identify	identify	VERB
amwa-353	37	16	promising	promise	VERB
amwa-353	37	17	molecules	molecule	NOUN
amwa-353	37	18	and	and	CCONJ
amwa-353	37	19	guide	guide	VERB
amwa-353	37	20	drug	drug	NOUN
amwa-353	37	21	development	development	NOUN
amwa-353	37	22	,	,	PUNCT
amwa-353	37	23	determine	determine	VERB
amwa-353	37	24	dosage	dosage	NOUN
amwa-353	37	25	,	,	PUNCT
amwa-353	37	26	and	and	CCONJ
amwa-353	37	27	assist	assist	VERB
amwa-353	37	28	in	in	ADP
amwa-353	37	29	genomics	genomic	NOUN
amwa-353	37	30	and	and	CCONJ
amwa-353	37	31	precision	precision	NOUN
amwa-353	37	32	medicine	medicine	NOUN
amwa-353	37	33	,	,	PUNCT
amwa-353	37	34	public	public	ADJ
amwa-353	37	35	epidemiology	epidemiology	NOUN
amwa-353	37	36	,	,	PUNCT
amwa-353	37	37	emergency	emergency	NOUN
amwa-353	37	38	department	department	NOUN
amwa-353	37	39	triage	triage	NOUN
amwa-353	37	40	,	,	PUNCT
amwa-353	37	41	and	and	CCONJ
amwa-353	37	42	hospital	hospital	NOUN
amwa-353	37	43	management.5	management.5	NOUN
amwa-353	38	1	some	some	PRON
amwa-353	38	2	of	of	ADP
amwa-353	38	3	these	these	DET
amwa-353	38	4	models	model	NOUN
amwa-353	38	5	are	be	AUX
amwa-353	38	6	standalone	standalone	ADJ
amwa-353	38	7	software	software	NOUN
amwa-353	38	8	packages	package	NOUN
amwa-353	38	9	,	,	PUNCT
amwa-353	38	10	others	other	NOUN
amwa-353	38	11	are	be	AUX
amwa-353	38	12	slick	slick	ADJ
amwa-353	38	13	software	software	NOUN
amwa-353	38	14	-	-	PUNCT
amwa-353	38	15	as	as	ADP
amwa-353	38	16	-	-	PUNCT
amwa-353	38	17	a	a	DET
amwa-353	38	18	-	-	PUNCT
amwa-353	38	19	service	service	NOUN
amwa-353	38	20	applications	application	NOUN
amwa-353	38	21	integrated	integrate	VERB
amwa-353	38	22	with	with	ADP
amwa-353	38	23	electronic	electronic	ADJ
amwa-353	38	24	health	health	NOUN
amwa-353	38	25	records	record	NOUN
amwa-353	38	26	.	.	PUNCT
amwa-353	39	1	communicating	communicate	VERB
amwa-353	39	2	about	about	ADP
amwa-353	39	3	and	and	CCONJ
amwa-353	39	4	with	with	ADP
amwa-353	39	5	ai	ai	PROPN
amwa-353	39	6	applications	application	NOUN
amwa-353	39	7	medical	medical	ADJ
amwa-353	39	8	writers	writer	NOUN
amwa-353	39	9	and	and	CCONJ
amwa-353	39	10	editors	editor	NOUN
amwa-353	39	11	who	who	PRON
amwa-353	39	12	work	work	VERB
amwa-353	39	13	with	with	ADP
amwa-353	39	14	ai	ai	PROPN
amwa-353	39	15	development	development	NOUN
amwa-353	39	16	teams	team	NOUN
amwa-353	39	17	have	have	AUX
amwa-353	39	18	been	be	AUX
amwa-353	39	19	writing	write	VERB
amwa-353	39	20	proposals	proposal	NOUN
amwa-353	39	21	for	for	ADP
amwa-353	39	22	ai	ai	NOUN
amwa-353	39	23	projects	project	NOUN
amwa-353	39	24	for	for	ADP
amwa-353	39	25	years	year	NOUN
amwa-353	39	26	.	.	PUNCT
amwa-353	40	1	as	as	SCONJ
amwa-353	40	2	these	these	DET
amwa-353	40	3	projects	project	NOUN
amwa-353	40	4	come	come	VERB
amwa-353	40	5	to	to	ADP
amwa-353	40	6	fruition	fruition	NOUN
amwa-353	40	7	,	,	PUNCT
amwa-353	40	8	more	more	ADJ
amwa-353	40	9	communicators	communicator	NOUN
amwa-353	40	10	will	will	AUX
amwa-353	40	11	join	join	VERB
amwa-353	40	12	the	the	DET
amwa-353	40	13	effort	effort	NOUN
amwa-353	40	14	and	and	CCONJ
amwa-353	40	15	find	find	VERB
amwa-353	40	16	that	that	SCONJ
amwa-353	40	17	the	the	DET
amwa-353	40	18	complicated	complicated	ADJ
amwa-353	40	19	and	and	CCONJ
amwa-353	40	20	sometimes	sometimes	ADV
amwa-353	40	21	obscure	obscure	ADJ
amwa-353	40	22	methods	method	NOUN
amwa-353	40	23	used	use	VERB
amwa-353	40	24	to	to	PART
amwa-353	40	25	develop	develop	VERB
amwa-353	40	26	ai	ai	ADJ
amwa-353	40	27	applications	application	NOUN
amwa-353	40	28	can	can	AUX
amwa-353	40	29	pose	pose	VERB
amwa-353	40	30	a	a	DET
amwa-353	40	31	challenge	challenge	NOUN
amwa-353	40	32	to	to	AUX
amwa-353	40	33	effective	effective	ADJ
amwa-353	40	34	communication	communication	NOUN
amwa-353	40	35	about	about	ADP
amwa-353	40	36	ai	ai	VERB
amwa-353	40	37	.	.	PUNCT
amwa-353	41	1	although	although	SCONJ
amwa-353	41	2	many	many	ADJ
amwa-353	41	3	standard	standard	ADJ
amwa-353	41	4	research	research	NOUN
amwa-353	41	5	design	design	NOUN
amwa-353	41	6	concerns	concern	NOUN
amwa-353	41	7	(	(	PUNCT
amwa-353	41	8	eg	eg	NOUN
amwa-353	41	9	,	,	PUNCT
amwa-353	41	10	hypothesis	hypothesis	NOUN
amwa-353	41	11	,	,	PUNCT
amwa-353	41	12	sample	sample	NOUN
amwa-353	41	13	size	size	NOUN
amwa-353	41	14	,	,	PUNCT
amwa-353	41	15	data	datum	NOUN
amwa-353	41	16	quality	quality	NOUN
amwa-353	41	17	and	and	CCONJ
amwa-353	41	18	representativeness	representativeness	NOUN
amwa-353	41	19	,	,	PUNCT
amwa-353	41	20	design	design	NOUN
amwa-353	41	21	rigor	rigor	NOUN
amwa-353	41	22	,	,	PUNCT
amwa-353	41	23	multidisciplinary	multidisciplinary	ADJ
amwa-353	41	24	representativeness	representativeness	NOUN
amwa-353	41	25	of	of	ADP
amwa-353	41	26	the	the	DET
amwa-353	41	27	team	team	NOUN
amwa-353	41	28	,	,	PUNCT
amwa-353	41	29	generalizability	generalizability	NOUN
amwa-353	41	30	)	)	PUNCT
amwa-353	41	31	also	also	ADV
amwa-353	41	32	apply	apply	VERB
amwa-353	41	33	to	to	ADP
amwa-353	41	34	ai	ai	VERB
amwa-353	41	35	model	model	NOUN
amwa-353	41	36	development	development	NOUN
amwa-353	41	37	,	,	PUNCT
amwa-353	41	38	communicators	communicator	NOUN
amwa-353	41	39	must	must	AUX
amwa-353	41	40	also	also	ADV
amwa-353	41	41	interrogate	interrogate	VERB
amwa-353	41	42	designs	design	NOUN
amwa-353	41	43	for	for	ADP
amwa-353	41	44	ai	ai	ADJ
amwa-353	41	45	-	-	PUNCT
amwa-353	41	46	specific	specific	ADJ
amwa-353	41	47	matters	matter	NOUN
amwa-353	41	48	(	(	PUNCT
amwa-353	41	49	eg	eg	NOUN
amwa-353	41	50	,	,	PUNCT
amwa-353	41	51	portability	portability	NOUN
amwa-353	41	52	of	of	ADP
amwa-353	41	53	the	the	DET
amwa-353	41	54	model	model	NOUN
amwa-353	41	55	,	,	PUNCT
amwa-353	41	56	validation	validation	NOUN
amwa-353	41	57	and	and	CCONJ
amwa-353	41	58	testing	testing	NOUN
amwa-353	41	59	plan	plan	NOUN
amwa-353	41	60	,	,	PUNCT
amwa-353	41	61	human	human	ADJ
amwa-353	41	62	–	–	PUNCT
amwa-353	41	63	ai	ai	VERB
amwa-353	41	64	team	team	NOUN
amwa-353	41	65	required	require	VERB
amwa-353	41	66	for	for	ADP
amwa-353	41	67	implementation	implementation	NOUN
amwa-353	41	68	,	,	PUNCT
amwa-353	41	69	maintenance	maintenance	NOUN
amwa-353	41	70	plan	plan	NOUN
amwa-353	41	71	to	to	PART
amwa-353	41	72	address	address	VERB
amwa-353	41	73	drift	drift	NOUN
amwa-353	41	74	)	)	PUNCT
amwa-353	41	75	.	.	PUNCT
amwa-353	42	1	for	for	ADP
amwa-353	42	2	ai	ai	PROPN
amwa-353	42	3	applications	application	NOUN
amwa-353	42	4	being	be	AUX
amwa-353	42	5	developed	develop	VERB
amwa-353	42	6	for	for	ADP
amwa-353	42	7	clinical	clinical	ADJ
amwa-353	42	8	use	use	NOUN
amwa-353	42	9	,	,	PUNCT
amwa-353	42	10	the	the	DET
amwa-353	42	11	fda	fda	PROPN
amwa-353	42	12	’s	’s	PART
amwa-353	42	13	good	good	ADJ
amwa-353	42	14	machine	machine	NOUN
amwa-353	42	15	learning	learning	NOUN
amwa-353	42	16	practice	practice	NOUN
amwa-353	42	17	for	for	ADP
amwa-353	42	18	medical	medical	ADJ
amwa-353	42	19	device	device	NOUN
amwa-353	42	20	development	development	NOUN
amwa-353	42	21	:	:	PUNCT
amwa-353	42	22	guiding	guide	VERB
amwa-353	42	23	principles	principle	NOUN
amwa-353	42	24	document6	document6	NOUN
amwa-353	42	25	provides	provide	VERB
amwa-353	42	26	excellent	excellent	ADJ
amwa-353	42	27	,	,	PUNCT
amwa-353	42	28	clear	clear	ADJ
amwa-353	42	29	guidance	guidance	NOUN
amwa-353	42	30	.	.	PUNCT
amwa-353	43	1	many	many	ADJ
amwa-353	43	2	of	of	ADP
amwa-353	43	3	the	the	DET
amwa-353	43	4	points	point	NOUN
amwa-353	43	5	on	on	ADP
amwa-353	43	6	their	their	PRON
amwa-353	43	7	list	list	NOUN
amwa-353	43	8	of	of	ADP
amwa-353	43	9	guiding	guide	VERB
amwa-353	43	10	principles	principle	NOUN
amwa-353	43	11	should	should	AUX
amwa-353	43	12	be	be	AUX
amwa-353	43	13	considered	consider	VERB
amwa-353	43	14	in	in	ADP
amwa-353	43	15	the	the	DET
amwa-353	43	16	research	research	NOUN
amwa-353	43	17	design	design	NOUN
amwa-353	43	18	development	development	NOUN
amwa-353	43	19	and	and	CCONJ
amwa-353	43	20	proposal	proposal	NOUN
amwa-353	43	21	writing	write	VERB
amwa-353	43	22	stages	stage	NOUN
amwa-353	43	23	,	,	PUNCT
amwa-353	43	24	in	in	ADP
amwa-353	43	25	addition	addition	NOUN
amwa-353	43	26	to	to	ADP
amwa-353	43	27	the	the	DET
amwa-353	43	28	funder	funder	NOUN
amwa-353	43	29	’s	’s	PART
amwa-353	43	30	explicit	explicit	ADJ
amwa-353	43	31	requirements	requirement	NOUN
amwa-353	43	32	.	.	PUNCT
amwa-353	44	1	when	when	SCONJ
amwa-353	44	2	writing	write	VERB
amwa-353	44	3	about	about	ADP
amwa-353	44	4	ai	ai	NOUN
amwa-353	44	5	-	-	PUNCT
amwa-353	44	6	based	base	VERB
amwa-353	44	7	health	health	NOUN
amwa-353	44	8	care	care	NOUN
amwa-353	44	9	apps	app	NOUN
amwa-353	44	10	,	,	PUNCT
amwa-353	44	11	the	the	DET
amwa-353	44	12	importance	importance	NOUN
amwa-353	44	13	of	of	ADP
amwa-353	44	14	understanding	understand	VERB
amwa-353	44	15	how	how	SCONJ
amwa-353	44	16	researchers	researcher	NOUN
amwa-353	44	17	develop	develop	VERB
amwa-353	44	18	these	these	DET
amwa-353	44	19	applications	application	NOUN
amwa-353	44	20	quickly	quickly	ADV
amwa-353	44	21	becomes	become	VERB
amwa-353	44	22	apparent	apparent	ADJ
amwa-353	44	23	,	,	PUNCT
amwa-353	44	24	but	but	CCONJ
amwa-353	44	25	,	,	PUNCT
amwa-353	44	26	when	when	SCONJ
amwa-353	44	27	writing	write	VERB
amwa-353	44	28	with	with	ADP
amwa-353	44	29	ai	ai	ADJ
amwa-353	44	30	apps	app	NOUN
amwa-353	44	31	,	,	PUNCT
amwa-353	44	32	one	one	PRON
amwa-353	44	33	may	may	AUX
amwa-353	44	34	ask	ask	VERB
amwa-353	44	35	why	why	SCONJ
amwa-353	44	36	any	any	PRON
amwa-353	44	37	of	of	ADP
amwa-353	44	38	the	the	DET
amwa-353	44	39	technical	technical	ADJ
amwa-353	44	40	aspects	aspect	NOUN
amwa-353	44	41	of	of	ADP
amwa-353	44	42	ai	ai	VERB
amwa-353	44	43	matter	matter	NOUN
amwa-353	44	44	to	to	ADP
amwa-353	44	45	the	the	DET
amwa-353	44	46	end	end	NOUN
amwa-353	44	47	user	user	NOUN
amwa-353	44	48	.	.	PUNCT
amwa-353	45	1	generative	generative	PROPN
amwa-353	45	2	ai	ai	PROPN
amwa-353	45	3	applications	application	NOUN
amwa-353	45	4	are	be	AUX
amwa-353	45	5	,	,	PUNCT
amwa-353	45	6	after	after	ADV
amwa-353	45	7	all	all	ADV
amwa-353	45	8	,	,	PUNCT
amwa-353	45	9	a	a	DET
amwa-353	45	10	tool	tool	NOUN
amwa-353	45	11	—	—	PUNCT
amwa-353	45	12	but	but	CCONJ
amwa-353	45	13	every	every	DET
amwa-353	45	14	good	good	PROPN
amwa-353	45	15	craftsperson	craftsperson	NOUN
amwa-353	45	16	knows	know	VERB
amwa-353	45	17	their	their	PRON
amwa-353	45	18	tools	tool	NOUN
amwa-353	45	19	.	.	PUNCT
amwa-353	46	1	communicators	communicator	NOUN
amwa-353	46	2	using	use	VERB
amwa-353	46	3	generative	generative	NOUN
amwa-353	46	4	ai	ai	VERB
amwa-353	46	5	in	in	ADP
amwa-353	46	6	their	their	PRON
amwa-353	46	7	practice	practice	NOUN
amwa-353	46	8	likewise	likewise	ADV
amwa-353	46	9	should	should	AUX
amwa-353	46	10	understand	understand	VERB
amwa-353	46	11	the	the	DET
amwa-353	46	12	tools	tool	NOUN
amwa-353	46	13	.	.	PUNCT
amwa-353	47	1	in	in	ADP
amwa-353	47	2	the	the	DET
amwa-353	47	3	medical	medical	ADJ
amwa-353	47	4	writing	writing	NOUN
amwa-353	47	5	and	and	CCONJ
amwa-353	47	6	editing	editing	NOUN
amwa-353	47	7	practices	practice	NOUN
amwa-353	47	8	,	,	PUNCT
amwa-353	47	9	this	this	PRON
amwa-353	47	10	largely	largely	ADV
amwa-353	47	11	means	mean	VERB
amwa-353	47	12	understanding	understand	VERB
amwa-353	47	13	gpts	gpt	NOUN
amwa-353	47	14	.	.	PUNCT
amwa-353	48	1	gpts	gpt	NOUN
amwa-353	48	2	are	be	AUX
amwa-353	48	3	a	a	DET
amwa-353	48	4	type	type	NOUN
amwa-353	48	5	of	of	ADP
amwa-353	48	6	llm	llm	PROPN
amwa-353	48	7	.	.	PUNCT
amwa-353	49	1	llms	llm	NOUN
amwa-353	49	2	sit	sit	VERB
amwa-353	49	3	at	at	ADP
amwa-353	49	4	the	the	DET
amwa-353	49	5	intersection	intersection	NOUN
amwa-353	49	6	of	of	ADP
amwa-353	49	7	dl	dl	PROPN
amwa-353	49	8	and	and	CCONJ
amwa-353	49	9	natural	natural	ADJ
amwa-353	49	10	language	language	NOUN
amwa-353	49	11	processing	processing	NOUN
amwa-353	49	12	,	,	PUNCT
amwa-353	49	13	an	an	DET
amwa-353	49	14	ai	ai	NOUN
amwa-353	49	15	domain	domain	NOUN
amwa-353	49	16	specific	specific	ADJ
amwa-353	49	17	to	to	ADP
amwa-353	49	18	teaching	teach	VERB
amwa-353	49	19	machines	machine	NOUN
amwa-353	49	20	to	to	PART
amwa-353	49	21	understand	understand	VERB
amwa-353	49	22	and	and	CCONJ
amwa-353	49	23	generate	generate	VERB
amwa-353	49	24	human	human	ADJ
amwa-353	49	25	language	language	NOUN
amwa-353	49	26	.	.	PUNCT
amwa-353	50	1	llms	llm	NOUN
amwa-353	50	2	use	use	VERB
amwa-353	50	3	dl	dl	PROPN
amwa-353	50	4	techniques	technique	NOUN
amwa-353	50	5	applied	apply	VERB
amwa-353	50	6	to	to	ADP
amwa-353	50	7	enormous	enormous	ADJ
amwa-353	50	8	data	datum	NOUN
amwa-353	50	9	sets	set	NOUN
amwa-353	50	10	.	.	PUNCT
amwa-353	51	1	their	their	PRON
amwa-353	51	2	objective	objective	NOUN
amwa-353	51	3	is	be	AUX
amwa-353	51	4	to	to	PART
amwa-353	51	5	understand	understand	VERB
amwa-353	51	6	and	and	CCONJ
amwa-353	51	7	generate	generate	VERB
amwa-353	51	8	text	text	NOUN
amwa-353	51	9	based	base	VERB
amwa-353	51	10	on	on	ADP
amwa-353	51	11	what	what	PRON
amwa-353	51	12	they	they	PRON
amwa-353	51	13	have	have	AUX
amwa-353	51	14	learned	learn	VERB
amwa-353	51	15	from	from	ADP
amwa-353	51	16	the	the	DET
amwa-353	51	17	data	datum	NOUN
amwa-353	51	18	they	they	PRON
amwa-353	51	19	have	have	AUX
amwa-353	51	20	ingested	ingest	VERB
amwa-353	51	21	.	.	PUNCT
amwa-353	52	1	although	although	SCONJ
amwa-353	52	2	their	their	PRON
amwa-353	52	3	output	output	NOUN
amwa-353	52	4	sounds	sound	VERB
amwa-353	52	5	human	human	ADJ
amwa-353	52	6	,	,	PUNCT
amwa-353	52	7	it	it	PRON
amwa-353	52	8	is	be	AUX
amwa-353	52	9	the	the	DET
amwa-353	52	10	output	output	NOUN
amwa-353	52	11	of	of	ADP
amwa-353	52	12	a	a	DET
amwa-353	52	13	statistical	statistical	ADJ
amwa-353	52	14	model	model	NOUN
amwa-353	52	15	,	,	PUNCT
amwa-353	52	16	like	like	ADP
amwa-353	52	17	any	any	DET
amwa-353	52	18	other	other	ADJ
amwa-353	52	19	gpt	gpt	NOUN
amwa-353	52	20	.	.	PUNCT
amwa-353	53	1	the	the	DET
amwa-353	53	2	text	text	NOUN
amwa-353	53	3	is	be	AUX
amwa-353	53	4	the	the	DET
amwa-353	53	5	algorithm	algorithm	NOUN
amwa-353	53	6	’s	’s	PART
amwa-353	53	7	best	good	ADJ
amwa-353	53	8	statistical	statistical	ADJ
amwa-353	53	9	prediction	prediction	NOUN
amwa-353	53	10	of	of	ADP
amwa-353	53	11	what	what	PRON
amwa-353	53	12	the	the	DET
amwa-353	53	13	next	next	ADJ
amwa-353	53	14	word	word	NOUN
amwa-353	53	15	(	(	PUNCT
amwa-353	53	16	and	and	CCONJ
amwa-353	53	17	then	then	ADV
amwa-353	53	18	the	the	DET
amwa-353	53	19	next	next	ADJ
amwa-353	53	20	and	and	CCONJ
amwa-353	53	21	the	the	DET
amwa-353	53	22	next	next	ADJ
amwa-353	53	23	)	)	PUNCT
amwa-353	53	24	should	should	AUX
amwa-353	53	25	be	be	AUX
amwa-353	53	26	.	.	PUNCT
amwa-353	54	1	unlike	unlike	ADP
amwa-353	54	2	earlier	early	ADV
amwa-353	54	3	ai	ai	VERB
amwa-353	54	4	,	,	PUNCT
amwa-353	54	5	like	like	ADP
amwa-353	54	6	predictive	predictive	ADJ
amwa-353	54	7	text	text	NOUN
amwa-353	54	8	that	that	PRON
amwa-353	54	9	suggests	suggest	VERB
amwa-353	54	10	a	a	DET
amwa-353	54	11	word	word	NOUN
amwa-353	54	12	or	or	CCONJ
amwa-353	54	13	brief	brief	ADJ
amwa-353	54	14	figure	figure	NOUN
amwa-353	54	15	1	1	NUM
amwa-353	54	16	.	.	PUNCT
amwa-353	55	1	ai	ai	VERB
amwa-353	55	2	is	be	AUX
amwa-353	55	3	typically	typically	ADV
amwa-353	55	4	divided	divide	VERB
amwa-353	55	5	into	into	ADP
amwa-353	55	6	2	2	NUM
amwa-353	55	7	categories	category	NOUN
amwa-353	55	8	:	:	PUNCT
amwa-353	55	9	weak	weak	ADJ
amwa-353	55	10	ai	ai	NOUN
amwa-353	55	11	and	and	CCONJ
amwa-353	55	12	strong	strong	ADJ
amwa-353	55	13	ai	ai	NOUN
amwa-353	55	14	.	.	PUNCT
amwa-353	56	1	although	although	SCONJ
amwa-353	56	2	strong	strong	ADJ
amwa-353	56	3	ai	ai	VERB
amwa-353	56	4	is	be	AUX
amwa-353	56	5	the	the	DET
amwa-353	56	6	goal	goal	NOUN
amwa-353	56	7	of	of	ADP
amwa-353	56	8	the	the	DET
amwa-353	56	9	ai	ai	NOUN
amwa-353	56	10	field	field	NOUN
amwa-353	56	11	,	,	PUNCT
amwa-353	56	12	weak	weak	ADJ
amwa-353	56	13	ai	ai	NOUN
amwa-353	56	14	represents	represent	VERB
amwa-353	56	15	the	the	DET
amwa-353	56	16	current	current	ADJ
amwa-353	56	17	state	state	NOUN
amwa-353	56	18	of	of	ADP
amwa-353	56	19	the	the	DET
amwa-353	56	20	science	science	NOUN
amwa-353	56	21	.	.	PUNCT
amwa-353	57	1	ai	ai	VERB
amwa-353	57	2	,	,	PUNCT
amwa-353	57	3	artificial	artificial	ADJ
amwa-353	57	4	intelligence	intelligence	NOUN
amwa-353	57	5	.	.	PUNCT
amwa-353	57	6	http://www.amwajournal.org	http://www.amwajournal.org	X
amwa-353	58	1	amwajournal.org	amwajournal.org	X
amwa-353	58	2	e3communicating	e3communicate	VERB
amwa-353	58	3	about	about	ADP
amwa-353	58	4	and	and	CCONJ
amwa-353	58	5	with	with	ADP
amwa-353	58	6	artificial	artificial	ADJ
amwa-353	58	7	intelligence	intelligence	NOUN
amwa-353	58	8	applications	application	NOUN
amwa-353	58	9	phrase	phrase	NOUN
amwa-353	58	10	,	,	PUNCT
amwa-353	58	11	generative	generative	ADJ
amwa-353	58	12	ai	ai	VERB
amwa-353	58	13	takes	take	VERB
amwa-353	58	14	a	a	DET
amwa-353	58	15	holistic	holistic	ADJ
amwa-353	58	16	approach	approach	NOUN
amwa-353	58	17	,	,	PUNCT
amwa-353	58	18	creating	create	VERB
amwa-353	58	19	a	a	DET
amwa-353	58	20	more	more	ADV
amwa-353	58	21	complex	complex	ADJ
amwa-353	58	22	model	model	NOUN
amwa-353	58	23	that	that	PRON
amwa-353	58	24	understands	understand	VERB
amwa-353	58	25	the	the	DET
amwa-353	58	26	larger	large	ADJ
amwa-353	58	27	context	context	NOUN
amwa-353	58	28	of	of	ADP
amwa-353	58	29	sentences	sentence	NOUN
amwa-353	58	30	and	and	CCONJ
amwa-353	58	31	paragraphs	paragraph	NOUN
amwa-353	58	32	and	and	CCONJ
amwa-353	58	33	can	can	AUX
amwa-353	58	34	generate	generate	VERB
amwa-353	58	35	paragraphs	paragraph	NOUN
amwa-353	58	36	of	of	ADP
amwa-353	58	37	cohesive	cohesive	ADJ
amwa-353	58	38	and	and	CCONJ
amwa-353	58	39	coherent	coherent	ADJ
amwa-353	58	40	human	human	NOUN
amwa-353	58	41	-	-	PUNCT
amwa-353	58	42	sounding	sound	VERB
amwa-353	58	43	text	text	NOUN
amwa-353	58	44	.	.	PUNCT
amwa-353	59	1	some	some	DET
amwa-353	59	2	medical	medical	ADJ
amwa-353	59	3	communication	communication	NOUN
amwa-353	59	4	products	product	NOUN
amwa-353	59	5	especially	especially	ADV
amwa-353	59	6	suitable	suitable	ADJ
amwa-353	59	7	for	for	ADP
amwa-353	59	8	generative	generative	ADJ
amwa-353	59	9	ai	ai	NOUN
amwa-353	59	10	production	production	NOUN
amwa-353	59	11	include	include	VERB
amwa-353	59	12	patient	patient	ADJ
amwa-353	59	13	education	education	NOUN
amwa-353	59	14	materials	material	NOUN
amwa-353	59	15	,	,	PUNCT
amwa-353	59	16	medical	medical	ADJ
amwa-353	59	17	guidelines	guideline	NOUN
amwa-353	59	18	,	,	PUNCT
amwa-353	59	19	package	package	NOUN
amwa-353	59	20	inserts	insert	NOUN
amwa-353	59	21	,	,	PUNCT
amwa-353	59	22	patient	patient	NOUN
amwa-353	59	23	-	-	PUNCT
amwa-353	59	24	facing	face	VERB
amwa-353	59	25	chatbots	chatbot	NOUN
amwa-353	59	26	to	to	PART
amwa-353	59	27	answer	answer	VERB
amwa-353	59	28	medical	medical	ADJ
amwa-353	59	29	questions	question	NOUN
amwa-353	59	30	,	,	PUNCT
amwa-353	59	31	patient	patient	ADJ
amwa-353	59	32	discharge	discharge	NOUN
amwa-353	59	33	instructions	instruction	NOUN
amwa-353	59	34	,	,	PUNCT
amwa-353	59	35	and	and	CCONJ
amwa-353	59	36	letters	letter	NOUN
amwa-353	59	37	(	(	PUNCT
amwa-353	59	38	to	to	ADP
amwa-353	59	39	insurers	insurer	NOUN
amwa-353	59	40	,	,	PUNCT
amwa-353	59	41	employers	employer	NOUN
amwa-353	59	42	,	,	PUNCT
amwa-353	59	43	etc),7	etc),7	NOUN
amwa-353	59	44	and	and	CCONJ
amwa-353	59	45	other	other	ADJ
amwa-353	59	46	plain	plain	ADJ
amwa-353	59	47	language	language	NOUN
amwa-353	59	48	materials	material	NOUN
amwa-353	59	49	.	.	PUNCT
amwa-353	60	1	using	use	VERB
amwa-353	60	2	consumer	consumer	NOUN
amwa-353	60	3	gpts	gpt	NOUN
amwa-353	60	4	to	to	PART
amwa-353	60	5	generate	generate	VERB
amwa-353	60	6	technical	technical	ADJ
amwa-353	60	7	content	content	NOUN
amwa-353	60	8	consumer	consumer	NOUN
amwa-353	60	9	versions	version	NOUN
amwa-353	60	10	of	of	ADP
amwa-353	60	11	gpts	gpt	NOUN
amwa-353	60	12	hit	hit	VERB
amwa-353	60	13	the	the	DET
amwa-353	60	14	market	market	NOUN
amwa-353	60	15	big	big	ADJ
amwa-353	60	16	with	with	ADP
amwa-353	60	17	dall	dall	NOUN
amwa-353	60	18	-	-	PUNCT
amwa-353	60	19	e	e	NOUN
amwa-353	60	20	and	and	CCONJ
amwa-353	60	21	then	then	ADV
amwa-353	60	22	chatgpt	chatgpt	NOUN
amwa-353	60	23	in	in	ADP
amwa-353	60	24	2022	2022	NUM
amwa-353	60	25	.	.	PUNCT
amwa-353	61	1	in	in	ADP
amwa-353	61	2	the	the	DET
amwa-353	61	3	intervening	intervene	VERB
amwa-353	61	4	time	time	NOUN
amwa-353	61	5	,	,	PUNCT
amwa-353	61	6	the	the	DET
amwa-353	61	7	gpt	gpt	NOUN
amwa-353	61	8	offerings	offering	NOUN
amwa-353	61	9	have	have	AUX
amwa-353	61	10	only	only	ADV
amwa-353	61	11	multiplied	multiply	VERB
amwa-353	61	12	and	and	CCONJ
amwa-353	61	13	expanded	expand	VERB
amwa-353	61	14	across	across	ADP
amwa-353	61	15	tasks	task	NOUN
amwa-353	61	16	,	,	PUNCT
amwa-353	61	17	including	include	VERB
amwa-353	61	18	writing	writing	NOUN
amwa-353	61	19	,	,	PUNCT
amwa-353	61	20	image	image	NOUN
amwa-353	61	21	generation	generation	NOUN
amwa-353	61	22	,	,	PUNCT
amwa-353	61	23	programming	programming	NOUN
amwa-353	61	24	,	,	PUNCT
amwa-353	61	25	and	and	CCONJ
amwa-353	61	26	data	datum	NOUN
amwa-353	61	27	analysis	analysis	NOUN
amwa-353	61	28	.	.	PUNCT
amwa-353	62	1	developers	developer	NOUN
amwa-353	62	2	train	train	VERB
amwa-353	62	3	consumer	consumer	NOUN
amwa-353	62	4	gpts	gpt	NOUN
amwa-353	62	5	on	on	ADP
amwa-353	62	6	the	the	DET
amwa-353	62	7	internet	internet	NOUN
amwa-353	62	8	,	,	PUNCT
amwa-353	62	9	meaning	mean	VERB
amwa-353	62	10	the	the	DET
amwa-353	62	11	gpts	gpt	NOUN
amwa-353	62	12	ingest	ingest	VERB
amwa-353	62	13	online	online	ADJ
amwa-353	62	14	content	content	NOUN
amwa-353	62	15	,	,	PUNCT
amwa-353	62	16	good	good	ADJ
amwa-353	62	17	and	and	CCONJ
amwa-353	62	18	bad	bad	ADJ
amwa-353	62	19	.	.	PUNCT
amwa-353	63	1	although	although	SCONJ
amwa-353	63	2	that	that	PRON
amwa-353	63	3	is	be	AUX
amwa-353	63	4	a	a	DET
amwa-353	63	5	large	large	ADJ
amwa-353	63	6	amount	amount	NOUN
amwa-353	63	7	of	of	ADP
amwa-353	63	8	data	datum	NOUN
amwa-353	63	9	by	by	ADP
amwa-353	63	10	anyone	anyone	PRON
amwa-353	63	11	’s	’s	PART
amwa-353	63	12	standards	standard	NOUN
amwa-353	63	13	,	,	PUNCT
amwa-353	63	14	a	a	DET
amwa-353	63	15	consumer	consumer	NOUN
amwa-353	63	16	gpt	gpt	NOUN
amwa-353	63	17	’s	’s	PART
amwa-353	63	18	training	training	NOUN
amwa-353	63	19	is	be	AUX
amwa-353	63	20	limited	limit	VERB
amwa-353	63	21	to	to	ADP
amwa-353	63	22	the	the	DET
amwa-353	63	23	data	datum	NOUN
amwa-353	63	24	to	to	PART
amwa-353	63	25	which	which	PRON
amwa-353	63	26	it	it	PRON
amwa-353	63	27	had	have	VERB
amwa-353	63	28	access	access	NOUN
amwa-353	63	29	,	,	PUNCT
amwa-353	63	30	including	include	VERB
amwa-353	63	31	copyrighted	copyright	VERB
amwa-353	63	32	material	material	NOUN
amwa-353	63	33	(	(	PUNCT
amwa-353	63	34	in	in	ADP
amwa-353	63	35	violation	violation	NOUN
amwa-353	63	36	of	of	ADP
amwa-353	63	37	copyright	copyright	NOUN
amwa-353	63	38	laws),8	laws),8	PROPN
amwa-353	63	39	but	but	CCONJ
amwa-353	63	40	without	without	ADP
amwa-353	63	41	access	access	NOUN
amwa-353	63	42	to	to	ADP
amwa-353	63	43	paywalled	paywalle	VERB
amwa-353	63	44	peer	peer	NOUN
amwa-353	63	45	-	-	PUNCT
amwa-353	63	46	reviewed	review	VERB
amwa-353	63	47	content	content	NOUN
amwa-353	63	48	and	and	CCONJ
amwa-353	63	49	with	with	ADP
amwa-353	63	50	training	training	NOUN
amwa-353	63	51	cutoffs	cutoff	NOUN
amwa-353	63	52	that	that	PRON
amwa-353	63	53	may	may	AUX
amwa-353	63	54	mean	mean	VERB
amwa-353	63	55	the	the	DET
amwa-353	63	56	most	most	ADV
amwa-353	63	57	recent	recent	ADJ
amwa-353	63	58	content	content	NOUN
amwa-353	63	59	is	be	AUX
amwa-353	63	60	months	month	NOUN
amwa-353	63	61	or	or	CCONJ
amwa-353	63	62	years	year	NOUN
amwa-353	63	63	old.†	old.†	NOUN
amwa-353	63	64	however	however	ADV
amwa-353	63	65	,	,	PUNCT
amwa-353	63	66	high	high	ADJ
amwa-353	63	67	-	-	PUNCT
amwa-353	63	68	quality	quality	NOUN
amwa-353	63	69	medical	medical	ADJ
amwa-353	63	70	communication	communication	NOUN
amwa-353	63	71	requires	require	VERB
amwa-353	63	72	accurate	accurate	ADJ
amwa-353	63	73	,	,	PUNCT
amwa-353	63	74	detailed	detailed	ADJ
amwa-353	63	75	,	,	PUNCT
amwa-353	63	76	and	and	CCONJ
amwa-353	63	77	current	current	ADJ
amwa-353	63	78	sources	source	NOUN
amwa-353	63	79	,	,	PUNCT
amwa-353	63	80	so	so	SCONJ
amwa-353	63	81	the	the	DET
amwa-353	63	82	quality	quality	NOUN
amwa-353	63	83	of	of	ADP
amwa-353	63	84	most	most	ADJ
amwa-353	63	85	content	content	NOUN
amwa-353	63	86	generated	generate	VERB
amwa-353	63	87	by	by	ADP
amwa-353	63	88	consumer	consumer	NOUN
amwa-353	63	89	gpt	gpt	NOUN
amwa-353	63	90	applications	application	NOUN
amwa-353	63	91	may	may	AUX
amwa-353	63	92	not	not	PART
amwa-353	63	93	meet	meet	VERB
amwa-353	63	94	those	those	DET
amwa-353	63	95	standards	standard	NOUN
amwa-353	63	96	,	,	PUNCT
amwa-353	63	97	especially	especially	ADV
amwa-353	63	98	for	for	ADP
amwa-353	63	99	more	more	ADV
amwa-353	63	100	complicated	complicated	ADJ
amwa-353	63	101	or	or	CCONJ
amwa-353	63	102	technical	technical	ADJ
amwa-353	63	103	topics	topic	NOUN
amwa-353	63	104	.	.	PUNCT
amwa-353	64	1	the	the	DET
amwa-353	64	2	human	human	ADJ
amwa-353	64	3	quality	quality	NOUN
amwa-353	64	4	of	of	ADP
amwa-353	64	5	gpts	gpt	NOUN
amwa-353	64	6	’	'	PUNCT
amwa-353	64	7	language	language	NOUN
amwa-353	64	8	can	can	AUX
amwa-353	64	9	cause	cause	VERB
amwa-353	64	10	users	user	NOUN
amwa-353	64	11	to	to	PART
amwa-353	64	12	trust	trust	VERB
amwa-353	64	13	the	the	DET
amwa-353	64	14	applications	application	NOUN
amwa-353	64	15	’	'	PUNCT
amwa-353	64	16	content	content	NOUN
amwa-353	64	17	more	more	ADJ
amwa-353	64	18	than	than	SCONJ
amwa-353	64	19	they	they	PRON
amwa-353	64	20	should	should	AUX
amwa-353	64	21	.	.	PUNCT
amwa-353	65	1	gpts	gpt	NOUN
amwa-353	65	2	provide	provide	VERB
amwa-353	65	3	inaccurate	inaccurate	ADJ
amwa-353	65	4	and	and	CCONJ
amwa-353	65	5	biased	biased	ADJ
amwa-353	65	6	information	information	NOUN
amwa-353	65	7	and	and	CCONJ
amwa-353	65	8	plagiarize	plagiarize	VERB
amwa-353	65	9	their	their	PRON
amwa-353	65	10	sources	source	NOUN
amwa-353	65	11	—	—	PUNCT
amwa-353	65	12	all	all	DET
amwa-353	65	13	issues	issue	NOUN
amwa-353	65	14	ethical	ethical	ADJ
amwa-353	65	15	medical	medical	ADJ
amwa-353	65	16	communicators	communicator	NOUN
amwa-353	65	17	can	can	AUX
amwa-353	65	18	not	not	PART
amwa-353	65	19	ignore	ignore	VERB
amwa-353	65	20	.	.	PUNCT
amwa-353	66	1	and	and	CCONJ
amwa-353	66	2	,	,	PUNCT
amwa-353	66	3	although	although	SCONJ
amwa-353	66	4	the	the	DET
amwa-353	66	5	human	human	NOUN
amwa-353	66	6	-	-	PUNCT
amwa-353	66	7	sounding	sound	VERB
amwa-353	66	8	quality	quality	NOUN
amwa-353	66	9	of	of	ADP
amwa-353	66	10	the	the	DET
amwa-353	66	11	content	content	NOUN
amwa-353	66	12	increases	increase	VERB
amwa-353	66	13	the	the	DET
amwa-353	66	14	value	value	NOUN
amwa-353	66	15	of	of	ADP
amwa-353	66	16	gpt	gpt	NOUN
amwa-353	66	17	-	-	PUNCT
amwa-353	66	18	generated	generate	VERB
amwa-353	66	19	content	content	NOUN
amwa-353	66	20	in	in	ADP
amwa-353	66	21	many	many	ADJ
amwa-353	66	22	contexts	contexts	NOUN
amwa-353	66	23	,	,	PUNCT
amwa-353	66	24	consumer	consumer	NOUN
amwa-353	66	25	gpts	gpt	NOUN
amwa-353	66	26	have	have	VERB
amwa-353	66	27	a	a	DET
amwa-353	66	28	limited	limited	ADJ
amwa-353	66	29	ability	ability	NOUN
amwa-353	66	30	to	to	PART
amwa-353	66	31	generate	generate	VERB
amwa-353	66	32	meaningful	meaningful	ADJ
amwa-353	66	33	technical	technical	ADJ
amwa-353	66	34	language	language	NOUN
amwa-353	66	35	.	.	PUNCT
amwa-353	67	1	using	use	VERB
amwa-353	67	2	proprietary	proprietary	ADJ
amwa-353	67	3	or	or	CCONJ
amwa-353	67	4	enterprise	enterprise	NOUN
amwa-353	67	5	models	model	NOUN
amwa-353	67	6	to	to	PART
amwa-353	67	7	generate	generate	VERB
amwa-353	67	8	technical	technical	ADJ
amwa-353	67	9	content	content	NOUN
amwa-353	67	10	to	to	PART
amwa-353	67	11	protect	protect	VERB
amwa-353	67	12	intellectual	intellectual	ADJ
amwa-353	67	13	property	property	NOUN
amwa-353	67	14	,	,	PUNCT
amwa-353	67	15	including	include	VERB
amwa-353	67	16	research	research	NOUN
amwa-353	67	17	data	datum	NOUN
amwa-353	67	18	and	and	CCONJ
amwa-353	67	19	information	information	NOUN
amwa-353	67	20	about	about	ADP
amwa-353	67	21	a	a	DET
amwa-353	67	22	novel	novel	ADJ
amwa-353	67	23	technology	technology	NOUN
amwa-353	67	24	or	or	CCONJ
amwa-353	67	25	design	design	NOUN
amwa-353	67	26	,	,	PUNCT
amwa-353	67	27	some	some	DET
amwa-353	67	28	companies	company	NOUN
amwa-353	67	29	have	have	AUX
amwa-353	67	30	implemented	implement	VERB
amwa-353	67	31	proprietary	proprietary	ADJ
amwa-353	67	32	or	or	CCONJ
amwa-353	67	33	enterprise	enterprise	NOUN
amwa-353	67	34	purpose	purpose	NOUN
amwa-353	67	35	-	-	PUNCT
amwa-353	67	36	built	build	VERB
amwa-353	67	37	models	model	NOUN
amwa-353	67	38	,	,	PUNCT
amwa-353	67	39	trained	train	VERB
amwa-353	67	40	on	on	ADP
amwa-353	67	41	the	the	DET
amwa-353	67	42	research	research	NOUN
amwa-353	67	43	corpus	corpus	NOUN
amwa-353	67	44	specific	specific	ADJ
amwa-353	67	45	to	to	ADP
amwa-353	67	46	their	their	PRON
amwa-353	67	47	industry	industry	NOUN
amwa-353	67	48	and	and	CCONJ
amwa-353	67	49	organization	organization	NOUN
amwa-353	67	50	.	.	PUNCT
amwa-353	68	1	often	often	ADV
amwa-353	68	2	these	these	PRON
amwa-353	68	3	are	be	AUX
amwa-353	68	4	sparse	sparse	ADJ
amwa-353	68	5	expert	expert	NOUN
amwa-353	68	6	models	model	NOUN
amwa-353	68	7	(	(	PUNCT
amwa-353	68	8	<	<	X
amwa-353	68	9	100	100	NUM
amwa-353	68	10	billion	billion	NUM
amwa-353	68	11	parameters	parameter	NOUN
amwa-353	68	12	vs	vs	ADP
amwa-353	68	13	chatgpt	chatgpt	NOUN
amwa-353	68	14	version	version	NOUN
amwa-353	68	15	3.5	3.5	NUM
amwa-353	68	16	’s	’s	PART
amwa-353	68	17	175	175	NUM
amwa-353	68	18	billion	billion	NUM
amwa-353	68	19	parameters	parameter	NOUN
amwa-353	68	20	)	)	PUNCT
amwa-353	68	21	,	,	PUNCT
amwa-353	68	22	which	which	PRON
amwa-353	68	23	can	can	AUX
amwa-353	68	24	be	be	AUX
amwa-353	68	25	more	more	ADV
amwa-353	68	26	accurate	accurate	ADJ
amwa-353	68	27	than	than	ADP
amwa-353	68	28	larger	large	ADJ
amwa-353	68	29	general	general	ADJ
amwa-353	68	30	models	model	NOUN
amwa-353	68	31	because	because	SCONJ
amwa-353	68	32	the	the	DET
amwa-353	68	33	data	datum	NOUN
amwa-353	68	34	ingested	ingest	VERB
amwa-353	68	35	are	be	AUX
amwa-353	68	36	more	more	ADV
amwa-353	68	37	specific	specific	ADJ
amwa-353	68	38	to	to	ADP
amwa-353	68	39	the	the	DET
amwa-353	68	40	users	user	NOUN
amwa-353	68	41	’	'	PUNCT
amwa-353	68	42	needs	need	NOUN
amwa-353	68	43	.	.	PUNCT
amwa-353	69	1	unlike	unlike	ADP
amwa-353	69	2	consumer	consumer	NOUN
amwa-353	69	3	gpt	gpt	NOUN
amwa-353	69	4	applications	application	NOUN
amwa-353	69	5	,	,	PUNCT
amwa-353	69	6	the	the	DET
amwa-353	69	7	models	model	NOUN
amwa-353	69	8	are	be	AUX
amwa-353	69	9	trained	train	VERB
amwa-353	69	10	with	with	ADP
amwa-353	69	11	industry	industry	NOUN
amwa-353	69	12	-	-	PUNCT
amwa-353	69	13	appropriate	appropriate	ADJ
amwa-353	69	14	information	information	NOUN
amwa-353	69	15	,	,	PUNCT
amwa-353	69	16	including	include	VERB
amwa-353	69	17	paywalled	paywalle	VERB
amwa-353	69	18	articles	article	NOUN
amwa-353	69	19	,	,	PUNCT
amwa-353	69	20	then	then	ADV
amwa-353	69	21	further	far	ADV
amwa-353	69	22	trained	train	VERB
amwa-353	69	23	on	on	ADP
amwa-353	69	24	the	the	DET
amwa-353	69	25	organization	organization	NOUN
amwa-353	69	26	’s	’s	PART
amwa-353	69	27	data	data	PROPN
amwa-353	69	28	.	.	PUNCT
amwa-353	70	1	data	datum	NOUN
amwa-353	70	2	ingested	ingest	VERB
amwa-353	70	3	by	by	ADP
amwa-353	70	4	private	private	ADJ
amwa-353	70	5	generative	generative	ADJ
amwa-353	70	6	models	model	NOUN
amwa-353	70	7	are	be	AUX
amwa-353	70	8	only	only	ADV
amwa-353	70	9	available	available	ADJ
amwa-353	70	10	to	to	ADP
amwa-353	70	11	members	member	NOUN
amwa-353	70	12	of	of	ADP
amwa-353	70	13	the	the	DET
amwa-353	70	14	organization	organization	NOUN
amwa-353	70	15	.	.	PUNCT
amwa-353	71	1	but	but	CCONJ
amwa-353	71	2	,	,	PUNCT
amwa-353	71	3	like	like	ADP
amwa-353	71	4	consumer	consumer	NOUN
amwa-353	71	5	gpt	gpt	NOUN
amwa-353	71	6	applications	application	NOUN
amwa-353	71	7	,	,	PUNCT
amwa-353	71	8	the	the	DET
amwa-353	71	9	tendency	tendency	NOUN
amwa-353	71	10	of	of	ADP
amwa-353	71	11	the	the	DET
amwa-353	71	12	technology	technology	NOUN
amwa-353	71	13	to	to	PART
amwa-353	71	14	prevaricate	prevaricate	VERB
amwa-353	71	15	,	,	PUNCT
amwa-353	71	16	hallucinate	hallucinate	ADJ
amwa-353	71	17	,	,	PUNCT
amwa-353	71	18	and	and	CCONJ
amwa-353	71	19	plagiarize	plagiarize	VERB
amwa-353	71	20	persists	persist	NOUN
amwa-353	71	21	in	in	ADP
amwa-353	71	22	these	these	DET
amwa-353	71	23	models	model	NOUN
amwa-353	71	24	,	,	PUNCT
amwa-353	71	25	too	too	ADV
amwa-353	71	26	.	.	PUNCT
amwa-353	72	1	conclusion	conclusion	NOUN
amwa-353	72	2	regardless	regardless	ADV
amwa-353	72	3	of	of	ADP
amwa-353	72	4	the	the	DET
amwa-353	72	5	type	type	NOUN
amwa-353	72	6	of	of	ADP
amwa-353	72	7	ai	ai	ADJ
amwa-353	72	8	application	application	NOUN
amwa-353	72	9	being	be	AUX
amwa-353	72	10	used	use	VERB
amwa-353	72	11	,	,	PUNCT
amwa-353	72	12	whether	whether	SCONJ
amwa-353	72	13	it	it	PRON
amwa-353	72	14	is	be	AUX
amwa-353	72	15	an	an	DET
amwa-353	72	16	application	application	NOUN
amwa-353	72	17	for	for	ADP
amwa-353	72	18	analyzing	analyze	VERB
amwa-353	72	19	imaging	imaging	NOUN
amwa-353	72	20	or	or	CCONJ
amwa-353	72	21	one	one	NUM
amwa-353	72	22	for	for	ADP
amwa-353	72	23	generating	generate	VERB
amwa-353	72	24	content	content	NOUN
amwa-353	72	25	for	for	ADP
amwa-353	72	26	a	a	DET
amwa-353	72	27	patient	patient	ADJ
amwa-353	72	28	education	education	NOUN
amwa-353	72	29	website	website	NOUN
amwa-353	72	30	,	,	PUNCT
amwa-353	72	31	current	current	ADJ
amwa-353	72	32	ai	ai	NOUN
amwa-353	72	33	applications	application	NOUN
amwa-353	72	34	are	be	AUX
amwa-353	72	35	imperfect	imperfect	ADJ
amwa-353	72	36	tools	tool	NOUN
amwa-353	72	37	for	for	ADP
amwa-353	72	38	our	our	PRON
amwa-353	72	39	use	use	NOUN
amwa-353	72	40	.	.	PUNCT
amwa-353	73	1	these	these	DET
amwa-353	73	2	tools	tool	NOUN
amwa-353	73	3	augment	augment	VERB
amwa-353	73	4	human	human	ADJ
amwa-353	73	5	productivity	productivity	NOUN
amwa-353	73	6	,	,	PUNCT
amwa-353	73	7	intelligence	intelligence	NOUN
amwa-353	73	8	,	,	PUNCT
amwa-353	73	9	and	and	CCONJ
amwa-353	73	10	creativity	creativity	NOUN
amwa-353	73	11	if	if	SCONJ
amwa-353	73	12	used	use	VERB
amwa-353	73	13	strategically	strategically	ADV
amwa-353	73	14	and	and	CCONJ
amwa-353	73	15	well	well	ADV
amwa-353	73	16	,	,	PUNCT
amwa-353	73	17	which	which	PRON
amwa-353	73	18	will	will	AUX
amwa-353	73	19	result	result	VERB
amwa-353	73	20	in	in	ADP
amwa-353	73	21	a	a	DET
amwa-353	73	22	shrinking	shrinking	NOUN
amwa-353	73	23	of	of	ADP
amwa-353	73	24	the	the	DET
amwa-353	73	25	workforce.9	workforce.9	NOUN
amwa-353	73	26	as	as	ADP
amwa-353	73	27	erik	erik	PROPN
amwa-353	73	28	brynjolfsson	brynjolfsson	PROPN
amwa-353	73	29	,	,	PUNCT
amwa-353	73	30	director	director	NOUN
amwa-353	73	31	of	of	ADP
amwa-353	73	32	the	the	DET
amwa-353	73	33	stanford	stanford	PROPN
amwa-353	73	34	digital	digital	PROPN
amwa-353	73	35	economy	economy	NOUN
amwa-353	73	36	lab	lab	NOUN
amwa-353	73	37	,	,	PUNCT
amwa-353	73	38	summarized	summarize	VERB
amwa-353	73	39	the	the	DET
amwa-353	73	40	situation	situation	NOUN
amwa-353	73	41	for	for	ADP
amwa-353	73	42	knowledge	knowledge	NOUN
amwa-353	73	43	workers	worker	NOUN
amwa-353	73	44	,	,	PUNCT
amwa-353	73	45	“	"	PUNCT
amwa-353	73	46	i	i	PRON
amwa-353	73	47	think	think	VERB
amwa-353	73	48	if	if	SCONJ
amwa-353	73	49	done	do	VERB
amwa-353	73	50	right	right	ADV
amwa-353	73	51	,	,	PUNCT
amwa-353	73	52	it	it	PRON
amwa-353	73	53	's	be	AUX
amwa-353	73	54	not	not	PART
amwa-353	73	55	going	go	VERB
amwa-353	73	56	to	to	PART
amwa-353	73	57	be	be	AUX
amwa-353	73	58	ai	ai	AUX
amwa-353	73	59	replacing	replace	VERB
amwa-353	73	60	lawyers	lawyer	NOUN
amwa-353	73	61	.	.	PUNCT
amwa-353	74	1	it	it	PRON
amwa-353	74	2	's	be	AUX
amwa-353	74	3	going	go	VERB
amwa-353	74	4	to	to	PART
amwa-353	74	5	be	be	AUX
amwa-353	74	6	lawyers	lawyer	NOUN
amwa-353	74	7	working	work	VERB
amwa-353	74	8	with	with	ADP
amwa-353	74	9	ai	ai	AUX
amwa-353	74	10	replacing	replace	VERB
amwa-353	74	11	lawyers	lawyer	NOUN
amwa-353	74	12	who	who	PRON
amwa-353	74	13	do	do	AUX
amwa-353	74	14	n't	not	PART
amwa-353	74	15	work	work	VERB
amwa-353	74	16	with	with	ADP
amwa-353	74	17	ai	ai	NOUN
amwa-353	74	18	.	.	PUNCT
amwa-353	75	1	”10	”10	NOUN
amwa-353	75	2	similar	similar	ADJ
amwa-353	75	3	to	to	ADP
amwa-353	75	4	earlier	early	ADJ
amwa-353	75	5	industrial	industrial	ADJ
amwa-353	75	6	revolutions	revolution	NOUN
amwa-353	75	7	,	,	PUNCT
amwa-353	75	8	the	the	DET
amwa-353	75	9	fourth	fourth	ADJ
amwa-353	75	10	industrial	industrial	ADJ
amwa-353	75	11	revolution	revolution	NOUN
amwa-353	75	12	brings	bring	VERB
amwa-353	75	13	technologies	technology	NOUN
amwa-353	75	14	that	that	PRON
amwa-353	75	15	will	will	AUX
amwa-353	75	16	displace	displace	VERB
amwa-353	75	17	workers	worker	NOUN
amwa-353	75	18	who	who	PRON
amwa-353	75	19	perform	perform	VERB
amwa-353	75	20	work	work	NOUN
amwa-353	75	21	that	that	PRON
amwa-353	75	22	new	new	ADJ
amwa-353	75	23	technologies	technology	NOUN
amwa-353	75	24	can	can	AUX
amwa-353	75	25	do	do	VERB
amwa-353	75	26	faster	fast	ADV
amwa-353	75	27	and	and	CCONJ
amwa-353	75	28	cheaper	cheap	ADJ
amwa-353	75	29	.	.	PUNCT
amwa-353	76	1	but	but	CCONJ
amwa-353	76	2	teams	team	NOUN
amwa-353	76	3	will	will	AUX
amwa-353	76	4	always	always	ADV
amwa-353	76	5	have	have	VERB
amwa-353	76	6	a	a	DET
amwa-353	76	7	need	need	NOUN
amwa-353	76	8	for	for	ADP
amwa-353	76	9	communicators	communicator	NOUN
amwa-353	76	10	with	with	ADP
amwa-353	76	11	domain	domain	NOUN
amwa-353	76	12	expertise	expertise	NOUN
amwa-353	76	13	or	or	CCONJ
amwa-353	76	14	other	other	ADJ
amwa-353	76	15	exceptional	exceptional	ADJ
amwa-353	76	16	skills	skill	NOUN
amwa-353	76	17	who	who	PRON
amwa-353	76	18	ethically	ethically	ADV
amwa-353	76	19	and	and	CCONJ
amwa-353	76	20	effectively	effectively	ADV
amwa-353	76	21	use	use	VERB
amwa-353	76	22	these	these	DET
amwa-353	76	23	tools	tool	NOUN
amwa-353	76	24	in	in	ADP
amwa-353	76	25	their	their	PRON
amwa-353	76	26	practice	practice	NOUN
amwa-353	76	27	.	.	PUNCT
amwa-353	77	1	acknowledgment	acknowledgment	NOUN
amwa-353	78	1	i	i	PRON
amwa-353	78	2	thank	thank	VERB
amwa-353	78	3	john	john	PROPN
amwa-353	78	4	w.	w.	PROPN
amwa-353	78	5	byram	byram	PROPN
amwa-353	78	6	for	for	ADP
amwa-353	78	7	his	his	PRON
amwa-353	78	8	review	review	NOUN
amwa-353	78	9	of	of	ADP
amwa-353	78	10	the	the	DET
amwa-353	78	11	manuscript	manuscript	NOUN
amwa-353	78	12	.	.	PUNCT
amwa-353	79	1	author	author	NOUN
amwa-353	79	2	declaration	declaration	PROPN
amwa-353	79	3	and	and	CCONJ
amwa-353	79	4	disclosures	disclosure	NOUN
amwa-353	79	5	:	:	PUNCT
amwa-353	79	6	the	the	DET
amwa-353	79	7	author	author	NOUN
amwa-353	79	8	notes	note	VERB
amwa-353	79	9	no	no	DET
amwa-353	79	10	commercial	commercial	ADJ
amwa-353	79	11	associations	association	NOUN
amwa-353	79	12	that	that	PRON
amwa-353	79	13	may	may	AUX
amwa-353	79	14	pose	pose	VERB
amwa-353	79	15	a	a	DET
amwa-353	79	16	conflict	conflict	NOUN
amwa-353	79	17	of	of	ADP
amwa-353	79	18	interest	interest	NOUN
amwa-353	79	19	in	in	ADP
amwa-353	79	20	relation	relation	NOUN
amwa-353	79	21	to	to	ADP
amwa-353	79	22	this	this	DET
amwa-353	79	23	article	article	NOUN
amwa-353	79	24	.	.	PUNCT
amwa-353	80	1	author	author	NOUN
amwa-353	80	2	contact	contact	PROPN
amwa-353	80	3	:	:	PUNCT
amwa-353	81	1	kellybyram@dukecityconsulting.com	kellybyram@dukecityconsulting.com	X
amwa-353	81	2	references	reference	NOUN
amwa-353	81	3	1	1	NUM
amwa-353	81	4	.	.	PUNCT
amwa-353	82	1	turing	ture	VERB
amwa-353	82	2	am	be	AUX
amwa-353	82	3	.	.	PUNCT
amwa-353	83	1	i.—computing	i.—compute	VERB
amwa-353	83	2	machinery	machinery	NOUN
amwa-353	83	3	and	and	CCONJ
amwa-353	83	4	intelligence	intelligence	NOUN
amwa-353	83	5	.	.	PUNCT
amwa-353	84	1	mind	mind	NOUN
amwa-353	84	2	.	.	PUNCT
amwa-353	85	1	1950;lix(236):433	1950;lix(236):433	NUM
amwa-353	85	2	-	-	SYM
amwa-353	85	3	460	460	NUM
amwa-353	85	4	.	.	PUNCT
amwa-353	85	5	doi:10.1093	doi:10.1093	NOUN
amwa-353	85	6	/	/	SYM
amwa-353	85	7	mind	mind	NOUN
amwa-353	85	8	/	/	SYM
amwa-353	85	9	lix.236.433	lix.236.433	PROPN
amwa-353	85	10	2	2	NUM
amwa-353	85	11	.	.	PUNCT
amwa-353	85	12	ochotny	ochotny	NOUN
amwa-353	85	13	n.	n.	VERB
amwa-353	85	14	the	the	DET
amwa-353	85	15	use	use	NOUN
amwa-353	85	16	of	of	ADP
amwa-353	85	17	artificial	artificial	ADJ
amwa-353	85	18	intelligence	intelligence	NOUN
amwa-353	85	19	and	and	CCONJ
amwa-353	85	20	machine	machine	NOUN
amwa-353	85	21	learning	learning	NOUN
amwa-353	85	22	in	in	ADP
amwa-353	85	23	clinical	clinical	ADJ
amwa-353	85	24	research	research	NOUN
amwa-353	85	25	and	and	CCONJ
amwa-353	85	26	health	health	NOUN
amwa-353	85	27	care	care	NOUN
amwa-353	85	28	.	.	PUNCT
amwa-353	86	1	am	be	AUX
amwa-353	86	2	med	med	ADJ
amwa-353	86	3	writ	writ	NOUN
amwa-353	86	4	assoc	assoc	PROPN
amwa-353	86	5	j.	j.	PROPN
amwa-353	86	6	2023;38(1	2023;38(1	NUM
amwa-353	86	7	)	)	PUNCT
amwa-353	86	8	.	.	PUNCT
amwa-353	87	1	doi:10.55752	doi:10.55752	NOUN
amwa-353	87	2	/	/	SYM
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amwa-353	87	4	3	3	NUM
amwa-353	87	5	.	.	NOUN
amwa-353	87	6	faverio	faverio	PROPN
amwa-353	87	7	m	m	PROPN
amwa-353	87	8	,	,	PUNCT
amwa-353	87	9	tyson	tyson	PROPN
amwa-353	87	10	a.	a.	NOUN
amwa-353	88	1	what	what	PRON
amwa-353	88	2	the	the	DET
amwa-353	88	3	data	datum	NOUN
amwa-353	88	4	says	say	VERB
amwa-353	88	5	about	about	ADP
amwa-353	88	6	americans	americans	PROPN
amwa-353	88	7	'	'	PART
amwa-353	88	8	views	view	NOUN
amwa-353	88	9	of	of	ADP
amwa-353	88	10	artificial	artificial	ADJ
amwa-353	88	11	intelligence	intelligence	NOUN
amwa-353	88	12	.	.	PUNCT
amwa-353	89	1	pew	pew	NOUN
amwa-353	89	2	research	research	NOUN
amwa-353	89	3	center	center	NOUN
amwa-353	89	4	website	website	NOUN
amwa-353	89	5	.	.	PUNCT
amwa-353	90	1	updated	update	VERB
amwa-353	90	2	november	november	PROPN
amwa-353	90	3	21	21	NUM
amwa-353	90	4	,	,	PUNCT
amwa-353	90	5	2023	2023	NUM
amwa-353	90	6	.	.	PUNCT
amwa-353	91	1	accessed	access	VERB
amwa-353	91	2	january	january	PROPN
amwa-353	91	3	8	8	NUM
amwa-353	91	4	,	,	PUNCT
amwa-353	91	5	2023	2023	NUM
amwa-353	91	6	.	.	PUNCT
amwa-353	92	1	https://www	https://www	PROPN
amwa-353	92	2	.	.	PUNCT
amwa-353	93	1	pewresearch.org/short-reads/2023/11/21/what-the-data-saysabout-americans-views-of-artificial-intelligence/	pewresearch.org/short-reads/2023/11/21/what-the-data-saysabout-americans-views-of-artificial-intelligence/	PROPN
amwa-353	93	2	4	4	X
amwa-353	93	3	.	.	X
amwa-353	94	1	biever	biever	PROPN
amwa-353	94	2	c.	c.	PROPN
amwa-353	94	3	chatgpt	chatgpt	PROPN
amwa-353	94	4	broke	break	VERB
amwa-353	94	5	the	the	DET
amwa-353	94	6	turing	ture	VERB
amwa-353	94	7	test	test	NOUN
amwa-353	94	8	the	the	DET
amwa-353	94	9	race	race	NOUN
amwa-353	94	10	is	be	AUX
amwa-353	94	11	on	on	ADP
amwa-353	94	12	for	for	ADP
amwa-353	94	13	new	new	ADJ
amwa-353	94	14	ways	way	NOUN
amwa-353	94	15	to	to	PART
amwa-353	94	16	assess	assess	VERB
amwa-353	94	17	ai	ai	NOUN
amwa-353	94	18	.	.	PUNCT
amwa-353	94	19	nature	nature	NOUN
amwa-353	94	20	.	.	PUNCT
amwa-353	95	1	2023;619(7971):686	2023;619(7971):686	NUM
amwa-353	95	2	-	-	SYM
amwa-353	95	3	689	689	NUM
amwa-353	95	4	.	.	PUNCT
amwa-353	96	1	doi:10.1038/	doi:10.1038/	NUM
amwa-353	96	2	d41586	d41586	PROPN
amwa-353	96	3	-	-	PUNCT
amwa-353	96	4	023	023	NUM
amwa-353	96	5	-	-	PUNCT
amwa-353	96	6	02361	02361	NUM
amwa-353	96	7	-	-	SYM
amwa-353	96	8	7	7	NUM
amwa-353	96	9	†after	†after	ADV
amwa-353	96	10	this	this	DET
amwa-353	96	11	presentation	presentation	NOUN
amwa-353	96	12	last	last	ADJ
amwa-353	96	13	year	year	NOUN
amwa-353	96	14	,	,	PUNCT
amwa-353	96	15	more	more	ADJ
amwa-353	96	16	consumer	consumer	NOUN
amwa-353	96	17	gpts	gpt	NOUN
amwa-353	96	18	have	have	AUX
amwa-353	96	19	introduced	introduce	VERB
amwa-353	96	20	real	real	ADJ
amwa-353	96	21	-	-	PUNCT
amwa-353	96	22	time	time	NOUN
amwa-353	96	23	web	web	NOUN
amwa-353	96	24	search	search	NOUN
amwa-353	96	25	functionality	functionality	NOUN
amwa-353	96	26	.	.	PUNCT
amwa-353	97	1	in	in	ADP
amwa-353	97	2	practical	practical	ADJ
amwa-353	97	3	terms	term	NOUN
amwa-353	97	4	,	,	PUNCT
amwa-353	97	5	a	a	DET
amwa-353	97	6	gpt	gpt	NOUN
amwa-353	97	7	with	with	ADP
amwa-353	97	8	realtime	realtime	ADJ
amwa-353	97	9	search	search	NOUN
amwa-353	97	10	capabilities	capability	NOUN
amwa-353	97	11	may	may	AUX
amwa-353	97	12	have	have	AUX
amwa-353	97	13	been	be	AUX
amwa-353	97	14	trained	train	VERB
amwa-353	97	15	through	through	ADP
amwa-353	97	16	september	september	PROPN
amwa-353	97	17	2021	2021	NUM
amwa-353	97	18	,	,	PUNCT
amwa-353	97	19	for	for	ADP
amwa-353	97	20	example	example	NOUN
amwa-353	97	21	,	,	PUNCT
amwa-353	97	22	but	but	CCONJ
amwa-353	97	23	it	it	PRON
amwa-353	97	24	can	can	AUX
amwa-353	97	25	search	search	VERB
amwa-353	97	26	the	the	DET
amwa-353	97	27	internet	internet	NOUN
amwa-353	97	28	for	for	ADP
amwa-353	97	29	information	information	NOUN
amwa-353	97	30	in	in	ADP
amwa-353	97	31	real	real	ADJ
amwa-353	97	32	time	time	NOUN
amwa-353	97	33	.	.	PUNCT
amwa-353	98	1	for	for	ADP
amwa-353	98	2	many	many	ADJ
amwa-353	98	3	casual	casual	ADJ
amwa-353	98	4	users	user	NOUN
amwa-353	98	5	employing	employ	VERB
amwa-353	98	6	a	a	DET
amwa-353	98	7	consumer	consumer	NOUN
amwa-353	98	8	gpt	gpt	NOUN
amwa-353	98	9	with	with	ADP
amwa-353	98	10	realtime	realtime	ADJ
amwa-353	98	11	search	search	NOUN
amwa-353	98	12	functionality	functionality	NOUN
amwa-353	98	13	,	,	PUNCT
amwa-353	98	14	the	the	DET
amwa-353	98	15	training	training	NOUN
amwa-353	98	16	date	date	NOUN
amwa-353	98	17	of	of	ADP
amwa-353	98	18	the	the	DET
amwa-353	98	19	gpt	gpt	NOUN
amwa-353	98	20	has	have	AUX
amwa-353	98	21	become	become	VERB
amwa-353	98	22	a	a	DET
amwa-353	98	23	distinction	distinction	NOUN
amwa-353	98	24	without	without	ADP
amwa-353	98	25	a	a	DET
amwa-353	98	26	difference	difference	NOUN
amwa-353	98	27	.	.	PUNCT
amwa-353	99	1	http://www.amwajournal.org	http://www.amwajournal.org	PUNCT
amwa-353	100	1	https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/	https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/	VERB
amwa-353	100	2	https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/	https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/	X
amwa-353	100	3	https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/	https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/	X
amwa-353	100	4	amwajournal.org	amwajournal.org	X
amwa-353	100	5	e4communicating	e4communicate	VERB
amwa-353	100	6	about	about	ADP
amwa-353	100	7	and	and	CCONJ
amwa-353	100	8	with	with	ADP
amwa-353	100	9	artificial	artificial	ADJ
amwa-353	100	10	intelligence	intelligence	NOUN
amwa-353	100	11	applications	application	NOUN
amwa-353	100	12	5	5	NUM
amwa-353	100	13	.	.	PUNCT
amwa-353	100	14	alowais	alowais	PROPN
amwa-353	100	15	sa	sa	PROPN
amwa-353	100	16	,	,	PUNCT
amwa-353	100	17	alghamdi	alghamdi	PROPN
amwa-353	100	18	ss	ss	PROPN
amwa-353	100	19	,	,	PUNCT
amwa-353	100	20	alsuhebany	alsuhebany	NOUN
amwa-353	100	21	n	n	CCONJ
amwa-353	100	22	,	,	PUNCT
amwa-353	100	23	et	et	PROPN
amwa-353	100	24	al	al	PROPN
amwa-353	100	25	.	.	PUNCT
amwa-353	101	1	revolutionizing	revolutionize	VERB
amwa-353	101	2	healthcare	healthcare	PROPN
amwa-353	101	3	:	:	PUNCT
amwa-353	101	4	the	the	DET
amwa-353	101	5	role	role	NOUN
amwa-353	101	6	of	of	ADP
amwa-353	101	7	artificial	artificial	ADJ
amwa-353	101	8	intelligence	intelligence	NOUN
amwa-353	101	9	in	in	ADP
amwa-353	101	10	clinical	clinical	ADJ
amwa-353	101	11	practice	practice	NOUN
amwa-353	101	12	.	.	PUNCT
amwa-353	102	1	bmc	bmc	ADJ
amwa-353	102	2	med	med	ADJ
amwa-353	102	3	educ	educ	PROPN
amwa-353	102	4	.	.	PUNCT
amwa-353	103	1	2023;23(1):689	2023;23(1):689	NUM
amwa-353	103	2	.	.	PUNCT
amwa-353	104	1	doi:10.1186	doi:10.1186	PROPN
amwa-353	104	2	/	/	SYM
amwa-353	104	3	s12909	s12909	NOUN
amwa-353	104	4	-	-	PUNCT
amwa-353	104	5	023	023	NUM
amwa-353	104	6	-	-	PUNCT
amwa-353	104	7	04698	04698	NUM
amwa-353	104	8	-	-	PUNCT
amwa-353	104	9	z	z	NOUN
amwa-353	104	10	6	6	NUM
amwa-353	104	11	.	.	PUNCT
amwa-353	105	1	good	good	ADJ
amwa-353	105	2	machine	machine	NOUN
amwa-353	105	3	learning	learning	NOUN
amwa-353	105	4	practice	practice	NOUN
amwa-353	105	5	for	for	ADP
amwa-353	105	6	medical	medical	ADJ
amwa-353	105	7	device	device	NOUN
amwa-353	105	8	development	development	NOUN
amwa-353	105	9	:	:	PUNCT
amwa-353	105	10	guiding	guide	VERB
amwa-353	105	11	principles	principle	NOUN
amwa-353	105	12	.	.	PUNCT
amwa-353	106	1	us	we	PRON
amwa-353	106	2	food	food	NOUN
amwa-353	106	3	and	and	CCONJ
amwa-353	106	4	drug	drug	PROPN
amwa-353	106	5	administration	administration	NOUN
amwa-353	106	6	.	.	PUNCT
amwa-353	107	1	october	october	PROPN
amwa-353	107	2	27	27	NUM
amwa-353	107	3	,	,	PUNCT
amwa-353	107	4	2021	2021	NUM
amwa-353	107	5	.	.	PUNCT
amwa-353	108	1	accessed	access	VERB
amwa-353	108	2	may	may	PROPN
amwa-353	108	3	14	14	NUM
amwa-353	108	4	,	,	PUNCT
amwa-353	108	5	2024	2024	NUM
amwa-353	108	6	.	.	PUNCT
amwa-353	109	1	https://www.fda.gov/medicaldevices/software-medical-device-samd/good-machine-learningpractice-medical-device-development-guiding-principles	https://www.fda.gov/medicaldevices/software-medical-device-samd/good-machine-learningpractice-medical-device-development-guiding-principle	NOUN
amwa-353	109	2	7	7	NUM
amwa-353	109	3	.	.	NOUN
amwa-353	109	4	doyal	doyal	ADJ
amwa-353	109	5	as	as	ADP
amwa-353	109	6	,	,	PUNCT
amwa-353	109	7	sender	sender	NOUN
amwa-353	109	8	d	d	PROPN
amwa-353	109	9	,	,	PUNCT
amwa-353	109	10	nanda	nanda	PROPN
amwa-353	109	11	m	m	PROPN
amwa-353	109	12	,	,	PUNCT
amwa-353	109	13	serrano	serrano	PROPN
amwa-353	109	14	ra	ra	PROPN
amwa-353	109	15	.	.	PUNCT
amwa-353	110	1	chatgpt	chatgpt	PROPN
amwa-353	110	2	and	and	CCONJ
amwa-353	110	3	artificial	artificial	ADJ
amwa-353	110	4	intelligence	intelligence	NOUN
amwa-353	110	5	in	in	ADP
amwa-353	110	6	medical	medical	ADJ
amwa-353	110	7	writing	writing	NOUN
amwa-353	110	8	:	:	PUNCT
amwa-353	110	9	concerns	concern	NOUN
amwa-353	110	10	and	and	CCONJ
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amwa-353	110	12	considerations	consideration	NOUN
amwa-353	110	13	.	.	PUNCT
amwa-353	111	1	cureus	cureus	NOUN
amwa-353	111	2	.	.	PUNCT
amwa-353	112	1	2023;15(8):e43292	2023;15(8):e43292	NUM
amwa-353	112	2	.	.	PUNCT
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amwa-353	113	1	cureus.43292	cureus.43292	PROPN
amwa-353	113	2	8	8	NUM
amwa-353	113	3	.	.	PUNCT
amwa-353	114	1	grynbaum	grynbaum	PROPN
amwa-353	114	2	m	m	PROPN
amwa-353	114	3	,	,	PUNCT
amwa-353	114	4	mac	mac	PROPN
amwa-353	114	5	r.	r.	PROPN
amwa-353	114	6	the	the	DET
amwa-353	114	7	times	times	PROPN
amwa-353	114	8	sues	sues	PROPN
amwa-353	114	9	openai	openai	PROPN
amwa-353	114	10	and	and	CCONJ
amwa-353	114	11	microsoft	microsoft	PROPN
amwa-353	114	12	over	over	ADP
amwa-353	114	13	a.i	a.i	PROPN
amwa-353	114	14	.	.	PROPN
amwa-353	114	15	use	use	NOUN
amwa-353	114	16	of	of	ADP
amwa-353	114	17	copyrighted	copyright	VERB
amwa-353	114	18	work	work	NOUN
amwa-353	114	19	.	.	PUNCT
amwa-353	115	1	new	new	PROPN
amwa-353	115	2	york	york	PROPN
amwa-353	115	3	times	times	PROPN
amwa-353	115	4	.	.	PUNCT
amwa-353	116	1	december	december	PROPN
amwa-353	116	2	27	27	NUM
amwa-353	116	3	,	,	PUNCT
amwa-353	116	4	2023	2023	NUM
amwa-353	116	5	.	.	PUNCT
amwa-353	117	1	accessed	access	VERB
amwa-353	117	2	december	december	PROPN
amwa-353	117	3	27	27	NUM
amwa-353	117	4	,	,	PUNCT
amwa-353	117	5	2023	2023	NUM
amwa-353	117	6	.	.	PUNCT
amwa-353	118	1	https://www.nytimes	https://www.nytime	NOUN
amwa-353	118	2	.	.	PUNCT
amwa-353	119	1	com/2023/12/27	com/2023/12/27	PROPN
amwa-353	119	2	/	/	SYM
amwa-353	119	3	business	business	NOUN
amwa-353	119	4	/	/	SYM
amwa-353	119	5	media	medium	NOUN
amwa-353	119	6	/	/	SYM
amwa-353	119	7	new	new	ADJ
amwa-353	119	8	-	-	PUNCT
amwa-353	119	9	york	york	NOUN
amwa-353	119	10	-	-	PUNCT
amwa-353	119	11	times	times	ADP
amwa-353	119	12	-	-	PUNCT
amwa-353	119	13	open	open	ADJ
amwa-353	119	14	-	-	PUNCT
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amwa-353	119	16	-	-	PUNCT
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amwa-353	119	18	9	9	NUM
amwa-353	119	19	.	.	PUNCT
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amwa-353	119	22	,	,	PUNCT
amwa-353	119	23	goel	goel	PROPN
amwa-353	119	24	s	s	PROPN
amwa-353	119	25	,	,	PUNCT
amwa-353	119	26	kovács	kovács	NOUN
amwa-353	119	27	-	-	PUNCT
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amwa-353	119	30	,	,	PUNCT
amwa-353	119	31	sadun	sadun	PROPN
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amwa-353	119	33	reskilling	reskille	VERB
amwa-353	119	34	in	in	ADP
amwa-353	119	35	the	the	DET
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amwa-353	119	37	of	of	ADP
amwa-353	119	38	ai	ai	PROPN
amwa-353	119	39	.	.	PROPN
amwa-353	119	40	harvard	harvard	PROPN
amwa-353	119	41	business	business	PROPN
amwa-353	119	42	review	review	PROPN
amwa-353	119	43	.	.	PUNCT
amwa-353	120	1	september	september	PROPN
amwa-353	120	2	-	-	PUNCT
amwa-353	120	3	october	october	PROPN
amwa-353	120	4	2023	2023	NUM
amwa-353	120	5	.	.	PUNCT
amwa-353	121	1	accessed	access	VERB
amwa-353	121	2	may	may	PROPN
amwa-353	121	3	14	14	NUM
amwa-353	121	4	,	,	PUNCT
amwa-353	121	5	2024	2024	NUM
amwa-353	121	6	.	.	PUNCT
amwa-353	122	1	https://hbr.org/2023/09/reskilling-in-theage-of-ai	https://hbr.org/2023/09/reskilling-in-theage-of-ai	PROPN
amwa-353	123	1	10	10	NUM
amwa-353	123	2	.	.	PUNCT
amwa-353	124	1	oliver	oliver	PROPN
amwa-353	124	2	,	,	PUNCT
amwa-353	124	3	j.	j.	PROPN
amwa-353	124	4	artificial	artificial	ADJ
amwa-353	124	5	intelligence	intelligence	NOUN
amwa-353	124	6	:	:	PUNCT
amwa-353	124	7	last	last	ADJ
amwa-353	124	8	week	week	NOUN
amwa-353	124	9	tonight	tonight	NOUN
amwa-353	124	10	with	with	ADP
amwa-353	124	11	john	john	PROPN
amwa-353	124	12	oliver	oliver	PROPN
amwa-353	125	1	[	[	X
amwa-353	125	2	video	video	NOUN
amwa-353	125	3	]	]	X
amwa-353	125	4	.	.	PUNCT
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amwa-353	126	2	.	.	PUNCT
amwa-353	126	3	published	publish	VERB
amwa-353	126	4	february	february	PROPN
amwa-353	126	5	27	27	NUM
amwa-353	126	6	,	,	PUNCT
amwa-353	126	7	2023	2023	NUM
amwa-353	126	8	.	.	PUNCT
amwa-353	127	1	accessed	access	VERB
amwa-353	127	2	june	june	PROPN
amwa-353	127	3	24	24	NUM
amwa-353	127	4	,	,	PUNCT
amwa-353	127	5	2024	2024	NUM
amwa-353	127	6	.	.	PUNCT
amwa-353	128	1	http://www.amwajournal.org	http://www.amwajournal.org	X
amwa-353	128	2	https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles	https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principle	VERB
amwa-353	128	3	https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles	https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principle	NOUN
amwa-353	128	4	https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles	https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principle	NOUN
amwa-353	128	5	https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html	https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html	PROPN
amwa-353	128	6	https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html	https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html	PROPN
amwa-353	129	1	https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html	https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html	PROPN
amwa-353	129	2	https://hbr.org/2023/09/reskilling-in-the-age-of-ai	https://hbr.org/2023/09/reskilling-in-the-age-of-ai	INTJ
amwa-353	130	1	https://hbr.org/2023/09/reskilling-in-the-age-of-ai	https://hbr.org/2023/09/reskilling-in-the-age-of-ai	INTJ
amwa-353	130	2	https://youtu.be/sqa8zo2xwc4	https://youtu.be/sqa8zo2xwc4	NOUN