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 m...

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Dades bibliogràfiques
Publicat a:NPJ Digit Med
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
Matèries:
Brief Communication
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7599208/
https://ncbi.nlm.nih.gov/pubmed/33145440
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-00352-w
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