[Value of artificial intelligence in the improvement of diagnostic consistency of radiology residents].

Liu, X; Xie, H H; Xu, Y F; Zhang, X D; Tao, X F; Liu, L; Wang, X Y

Liu, X; Xie, H H; Xu, Y F; Zhang, X D; Tao, X F; Liu, L; Wang, X Y.

Afiliação

Liu X; Department of Radiology, Peking University First Hospital, Beijing 100034, China.
Xie HH; Department of Radiology, Peking University First Hospital, Beijing 100034, China.
Xu YF; Department of Radiology, Peking University First Hospital, Beijing 100034, China.
Zhang XD; Department of Radiology, Peking University First Hospital, Beijing 100034, China.
Tao XF; Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China.
Liu L; Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun 130000, China.
Wang XY; Department of Radiology, Peking University First Hospital, Beijing 100034, China.

Beijing Da Xue Xue Bao Yi Xue Ban ; 55(4): 670-675, 2023 Aug 18.

Article em Zh | MEDLINE | ID: mdl-37534650

Assuntos

Radiologia; Fraturas das Costelas; Humanos; Fraturas das Costelas/diagnóstico por imagem; Inteligência Artificial; China; Radiografia; Estudos Retrospectivos

Palavras-chave

Artificial intelligence; Chest trauma; Computed tomography imaging; Rib fracture

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Fraturas das Costelas Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Humans País/Região como assunto: Asia Idioma: Zh Revista: Beijing Da Xue Xue Bao Yi Xue Ban Assunto da revista: MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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