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. 2022 Jul 22;10:944967. doi: 10.3389/fpubh.2022.944967

Table 5.

Prediction performance of AI-100 on RDR, RMD, and GCS across cameras.

Camera brand Topcon Syseye iCare Canon
RDR Sensitivity 0.900 (0.555, 0.998) 1.000 (0.292, 1.000) 0.900 (0.555, 0.998) 1.000 (0.398, 1.000)
Specificity 0.930 (0.875, 0.966) 0.967 (0.924, 0.989) 0.986 (0.950, 0.998) 0.968 (0.910,0.993)
AUC 0.919 (0.781, 1.000) 1.000 (0.999, 1.000) 0.906 (0.721, 1.000) 0.992 (0.976, 1.000)
RMD Sensitivity 0.982 (0.905, 1.000) 0.852 (0.729, 0.934) 0.982 (0.905, 1.000) 0.861 (0.705, 0.953)
Specificity 0.907 (0.831,0.957) 0.970 (0.914,0.994) 0.885 (0.804, 0.941) 0.952 (0.865, 0.990)
AUC 0.978 (0.956, 1.000) 0.966 (0.939, 0.993) 0.985 (0.972, 0.999) 0.968 (0.937, 1.000)
GCS Sensitivity 0.909 (0.587, 0.998) 0.889 (0.518, 0.997) 1.000 (0.735, 1.000) 1.000 (0.292, 1.000)
Specificity 0.944 (0.892, 0.975) 0.924 (0.867, 0.961) 0.957 (0.909, 0.984) 0.958 (0.896, 0.988)
AUC 0.941 (0.826, 1.000) 0.973 (0.932, 1.000) 0.996 (0.989, 1.000) 0.993 (0.976, 1.000)

The numbers in the parentheses are lower and upper bounds of the respective 95% CIs.