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Table 1 The diagnostic performance of DL_Model and human graders testing in internal hold-out testing dataset

From: Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

 

Accuracy (95% CI)

Specificity (95% CI)

Sensitivity (95% CI)

Deep learning models

0.80 (0.76 to 0.84)

0.79 (0.75 to 0.83)

0.80 (0.76 to 0.84)

Human experts

   

#1 Glaucoma specialist

0.74 (0.70 to 0.78)

0.81 (0.78 to 0.85)

0.68 (0.64 to 0.72)

#2 Glaucoma specialist

0.69 (0.65 to 0.73)

0.65 (0.61 to 0.69)

0.72 (0.68 to 0.76)