Table 2.

Fetal malpresentation estimation.

Subset	Number of participants	Number of malpresentations	AUC-ROC (95% CI)	Sensitivity (95% CI)	Specificity (95% CI)
All	613	65	0.977 (0.949, 1.0)	0.938 (0.848, 0.983)	0.973 (0.955, 0.985)
Low-cost device only	213	29	0.970 (0.944, 0.997)	0.931 (0.772, 0.992)	0.940 (0.896, 0.970)
Standard device only	598	65	0.980 (0.953, 1.000)	0.954 (0.871, 0.990)	0.977 (0.961, 0.988)
Novice only	189	21	0.992 (0.983, 1.000)	1.000 (0.839, 1.000)	0.952 (0.908, 0.979)
Sonographer only	424	43	0.972 (0.933, 989)	0.907 (0.779, 0.974)	0.987 (0.970, 0.996)

The fetal malpresentation model was assessed by comparing predictions to the determination of a sonographer. In each subset of the data, we selected only the latest eligible visit from each patient. For sensitivity and specificity computations, model predictions were binarized according to a predefined threshold. Confidence intervals on the area under the receiver operating characteristic (AUC-ROC) were computed using the DeLong method. Confidence intervals on sensitivity and specificity were computed with the Clopper–Pearson method.