TABLE 3.

Summary of performance metrics for right upper quadrant AI model.

RUQ Results	Abdominal Hemorrhage	Hemothorax	Negative
	Average ± StDev	Average ± StDev	Average ± StDev
Precision	0.980 ± 0.015	0.977 ± 0.009	0.971 ± 0.006
Recall	0.979 ± 0.015	0.984 ± 0.008	0.964 ± 0.019
F1	0.979 ± 0.014	0.980 ± 0.006	0.967 ± 0.012
Accuracy	0.986 ± 0.009	0.987 ± 0.004	0.978 ± 0.008
Specificity	0.990 ± 0.008	0.988 ± 0.005	0.990 ± 0.008
AUC a	0.999 ± 0.001	0.999 ± 0.001	0.998 ± 0.001

Average results and standard deviations are shown for n = 3 trained models for each classification category: abdominal hemorrhage positive, hemothorax positive, and negative for both injuries.

^a Area Under the ROC (receiver operating characteristic) Curve.