Detection and localization of distal radius fractures: Deep learning system versus radiologists

Purpose To evaluate a deep learning based image analysis software for the detection and localization of distal radius fractures. Method A deep learning system (DLS) was trained on 524 wrist radiographs (166 showing fractures). Performance was tested on internal (100 radiographs, 42 showing fractures) and external test sets (200 radiographs, 100 showing fractures). Single and combined views of the radiographs were shown to DLS and three readers....