Table 2.

The Diagnostic Performance of DL_Model and Human Graders Testing in JSIEC Validation Data Set

	Accuracy (95% CI)	Specificity (95% CI)	Sensitivity (95% CI)
Deep learning models	0.968 (0.947 to 0.989)	0.993 (0.983 to 1.000)	0.940 (0.919 to 0.968)
Human graders
Ophthalmologist #1	0.834 (0.790 to 0.878)	0.847 (0.805 to 0.889)	0.820 (0.775 to 0.865)
Ophthalmologist #2	0.848 (0.806 to 0.890)	0.868 (0.828 to 0.908)	0.827 (0.782 to 0.872)
Ophthalmologist #3	0.809 (0.763 to 0.855)	0.778 (0.729 to 0.827)	0.842 (0.799 to 0.885)

95% CI, 95% confidence interval.