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Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. NPJ digital medicine Jones, R. M., Sharma, A. n., Hotchkiss, R. n., Sperling, J. W., Hamburger, J. n., Ledig, C. n., O'Toole, R. n., Gardner, M. n., Venkatesh, S. n., Roberts, M. M., Sauvestre, R. n., Shatkhin, M. n., Gupta, A. n., Chopra, S. n., Kumaravel, M. n., Daluiski, A. n., Plogger, W. n., Nascone, J. n., Potter, H. G., Lindsey, R. V. 2020; 3 (1): 144

Abstract

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.

View details for DOI 10.1038/s41746-020-00352-w

View details for PubMedID 33299093