Table 6.

Performance of BAD-D, corvis biomechanical index, and tomographic biomechanical index

Score	Accuracy	AUC	Sensitivity (%)	Specificity (%)	PPV
AI model 1 test set (n=167)
BAD-D
Weighted average	0.912	0.904	85.6	95.3	0.893
Macro average	0.892	0.865	79.9	93.1	0.744
AI model 2–3 test set (n=62)
BAD-D
Weighted average	0.951	0.988	91.4	98.0	0.938
Macro average	0.935	0.956	86.3	96.2	0.778
CBI
Weighted average	0.798	0.988	80.1	78.5	0.727
Macro average	0.839	0.956	55.6	86.2	0.533
TBI
Weighted average	0.951	0.988	91.4	98.0	0.938
Macro average	0.935	0.956	86.3	96.2	0.778

BAD-D: Belin-Ambrósio enhanced ectasia total deviation display, CBI: Corvis biomechanical index, TBI: Tomography and biomechanical index, n: Number of images, AUC: Area under the receiver operating characteristic curve, PPV: Positive predictive value, AI: Artificial intelligence