id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
dpc-5353	Lallas, Aimilios; Liopyris , Konstantinos ; Apalla, Zoe ; Moscarella, Elvira ; Brancaccio, Gabriella ; Stratigos, Alexander ; Argenziano , Giuseppe 	Artificial Intelligence-Based Image Analysis is Insufficient as a Stand-Alone Assessment of Skin Tumors in Real Clinical Practice	2025	3	.pdf	application/pdf	1279	70	50	Whether this great potential will transform into practice-changing developments depends on the tasks that should be assigned to AI algorithms. AI Assessment Clinical Assessment Not suspicious Suspicious Not suspicious Suspicious Number of patients 4 72 61 15 Total number of lesions 4620 172 4787 15 Correct AI diagnosis (lesion level) 4633/4792 = 96.7% AI Sensitivity (lesion level) 14/15 = 93.3% AI Specificity (lesion level) 4620/4787 = 96.5% AI PPV (lesion level) 14/172 = 8.1% AI NPV (lesion level) 4619/4620 = 99.9% AI Sensitivity (patient level) 15/15 = 100% AI Specificity (lesion level) 4/61 = 6.6% AI PPV (lesion level) 15/72 = 20.8% AI NPV (lesion level) 4/4 = 100% All the accuracy calculations were done using clinical assessment as referral (gold standard).	cache/dpc-5353.pdf	txt/dpc-5353.txt