Fig. 2From: Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter studyROC Curves. This is the ROC curve for the EfficientNet-B4 model, which showed an AUC of 0.992. Class 0 indicates cases without fracture, and Class 1 indicates cases with fracture. Each ROC curve was calculated. The micro-average ROC sums contributions by class, while the macro-average ROC shows the average results for all classes (AUC = 0.992)Back to article page