Table 3.

Classification metrics of HTNet with ultrasound images and serologic markers as input.

Classification metrics	Internal-testing set 1 (static-image, n = 945)	Internal-testing set 1 (static-image plus serologic markers, n = 945)	Internal-testing set 1 (video, n = 185)	Internal-testing set 1 (video plus serologic markers, n = 185)
Accuracy (95% CI)	0.861 (0.838–0.883)	0.877 (0.855–0.897)	0.832 (0.771–0.883)	0.892 (0.838–0.933)
Sensitivity (95% CI)	0.765 (0.709–0.815)	0.830 (0.779–0.873)	0.846 (0.719–0.931)	0.923 (0.815–0.979)
Specificity (95% CI)	0.899 (0.874–0.920)	0.896 (0.870–0.918)	0.827 (0.752–0.887)	0.880 (0.812–0.930)