Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist

Autor: Nils Hendrix, Ward Hendrix, Kees van Dijke, Bas Maresch, Mario Maas, Stijn Bollen, Alexander Scholtens, Milko de Jonge, Lee-Ling Sharon Ong, Bram van Ginneken, Matthieu Rutten

Publikováno v: Hendrix, N, Hendrix, W, van Dijke, K, Maresch, B, Maas, M, Bollen, S, Scholtens, A, de Jonge, M, Ong, L-L S, van Ginneken, B & Rutten, M 2022, ' Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist ', European Radiology . https://doi.org/10.1007/s00330-022-09205-4
European Radiology. Springer Verlag
European Radiology, 33, 1575-1588
European Radiology, 33, 3, pp. 1575-1588
European radiology. Springer Verlag

Objectives To assess how an artificial intelligence (AI) algorithm performs against five experienced musculoskeletal radiologists in diagnosing scaphoid fractures and whether it aids their diagnosis on conventional multi-view radiographs. Methods Fou

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