Jones Rebecca M, Sharma Anuj, Hotchkiss Robert, Sperling John W, Hamburger Jackson, Ledig Christian, O'Toole Robert, Gardner Michael, Venkatesh Srivas, Roberts Matthew M, Sauvestre Romain, Shatkhin Max, Gupta Anant, Chopra Sumit, Kumaravel Manickam, Daluiski Aaron, Plogger Will, Nascone Jason, Potter Hollis G, Lindsey Robert V
Imagen Technologies, Inc., 151 West 26th Street, Suite 1001, New York, NY 10001 USA.
Hospital for Special Surgery, 523 East 72nd St, New York, NY 10021 USA.
NPJ Digit Med. 2020 Oct 30;3:144. doi: 10.1038/s41746-020-00352-w. eCollection 2020.
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.
漏诊骨折是急诊科最常见的诊断错误，可能导致治疗延误和长期残疾。在此，我们通过一项多中心研究表明，深度学习系统能够准确识别成人肌肉骨骼系统中的骨折。这种方法可能有潜力减少未来X光片解读中的诊断错误。
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