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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...
Autores principales: | 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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599208/ https://www.ncbi.nlm.nih.gov/pubmed/33145440 http://dx.doi.org/10.1038/s41746-020-00352-w |
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