Deep learning network detects, localizes fractures on wrist x-rays

Overall, the model detected and correctly localized 91 percent (310/340 images) and 96 percent (236/245 images) of all radius and ulna fractures on the frontal and lateral views, respectively. On a per-image basis the CNN achieved a sensitivity, specificity and AUC of 96 percent, 83 percent and 0.92, respectively for the frontal view. For the lateral views those numbers were 97 percent, 86 percent and 0.93, respectively. The per-study sensitivity, specificity and AUC were 98 percent, 73 percent and 0.89, respectively.