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

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: Four datasets of conventional hand, wrist, and scap...

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Detalles Bibliográficos
Autores principales: Hendrix, Nils, Hendrix, Ward, van Dijke, Kees, Maresch, Bas, Maas, Mario, Bollen, Stijn, Scholtens, Alexander, de Jonge, Milko, Ong, Lee-Ling Sharon, van Ginneken, Bram, Rutten, Matthieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935716/
https://www.ncbi.nlm.nih.gov/pubmed/36380195
http://dx.doi.org/10.1007/s00330-022-09205-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935716/
https://www.ncbi.nlm.nih.gov/pubmed/36380195
http://dx.doi.org/10.1007/s00330-022-09205-4

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