Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs.

Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures throughout the adult musculoskeletal system. This approach may have the potential to reduce future diagnostic errors in radiograph interpretation.
Competing Interests: Competing interestsThe authors declare the following financial competing interest: financial support for the research was provided by Imagen Technologies, Inc. R.V.L., J.H., R.M.J., S.V., A.S., R.S., M.S., A.G., S.C., W.P., and C.L. are employees of Imagen Technologies, Inc. All authors are shareholders at Imagen Technologies, Inc. The authors declare that there are no non-financial competing interests.
(© The Author(s) 2020.)