AI algorithms can quickly detect and localize wrist fractures in X-ray images, which can augment the work of harried emergency physicians and radiologists.
Missing a fracture on an emergency department radiograph is one of the most common causes of diagnostic errors and subsequent litigation. Such errors are due to clinical inexperience, distraction, fatigue, poor viewing conditions and time pressures.
The study authors, from the National University of Singapore, hypothesized that automated analysis using artificial intelligence (AI) would be “invaluable” in reducing these misreadings and that an object detection convolutional neural network (CNN) would work better than other CNNs.
