Fig. 2.

Deep-learning predicts all patient and hospital processes from a radiograph. a Deep-learning image models to predict binarized forms of 14 HP variables, 5 PT variables, and hip fracture. Error bars indicate the 95% confidence intervals of 2000 bootstrapped samples. b Deep-learning regression models to predict eight continuous variables from hip radiographs. Each dot represents one radiograph, and the purple lines are linear models of actual versus predicted values. c ROC, ROC^+/− bootstrap confidence intervals, and precision recall curves for deep-learning models that predict fracture based on combinatorial predictor sets of IMG, PT, and HP variables. Crosshairs indicate the best operating point on ROC and PRC curves