Artificial intelligence-assisted diagnosis of rectal neuroendocrine tumors during white-light endoscopy

Table 6 Comparison of performance in the identification of rectal neuroendocrine tumors based on the image as the unit

Group	PPV	Sensitivity	NPV	Specificity	Accuracy
Expert1	0.808 (0.006)2,a	0.755 (0.027)	0.982 (0.002)	0.987 (0.001)1	0.972 (0.001)a
Senior1	0.473 (0.047)a	0.778 (0.033)	0.983 (0.003)	0.938 (0.009)1	0.927 (0.011)a
Novice1	0.487 (0.098)a	0.392 (0.087)a	0.956 (0.005)a	0.968 (0.019)	0.929 (0.011)a
Mean-doctor	0.589 (0.176)a	0.642 (0.199)	0.974 (0.014)	0.964 (0.024)a	0.942 (0.024)a
AI	0.939	0.726	0.981	0.997	0.978

¹Value is the mean of the values of the two endoscopists.

²Variance.

^aP < 0.05.

PPV: Positive predictive value; NPV: Negative predictive value; AI: Artificial intelligence.