Table 1.

Comparison of diagnostic performance between the deep learning system and radiologists

	Accuracy	Sensitivity	Specificity	Positive predictive value	Negative predictive value	AUC	Time for training	Time for testing
AI
AlexNet	87.4	77.3	97.1	96.3	81.8	0.87	51 min	9 sec
GoogleNet	85.3	74.2	95.9	94.7	80.0	0.85	3 hr	11 sec
Radiologists	81.2	80.2	82.0	78.7	83.4	0.74	–	–
p values
AI(AlexNet) vs AI(GoogleNet)	0.3991	0.5296	0.3390	0.1412	0.4647	0.0511
AI(AlexNet) vs Radiologists	0.0528	0.4386	0.0445 a	0.0528	0.4386	<0.0001 b
AI(GoogleNet) vs Radiologists	0.2453	0.4386	0.0424 a	0.0507	0.4386	0.0003 b

^a p<0.05 (Mann–Whitney U test).

^b p<0.01 (χ²-test).