Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments

Background and purpose — Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identifying the regions of interest, to detect distal radius fractures (DRFs) on anterior–posterior (AP) wrist radiographs. Patients and methods — 2,340 AP wrist radiographs from 2,340 patients were enrolled...