How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China.

Li, Jiaoyang; Zhou, Lingxiao; Zhan, Yi; Xu, Haifeng; Zhang, Cheng; Shan, Fei; Liu, Lei

Li, Jiaoyang; Zhou, Lingxiao; Zhan, Yi; Xu, Haifeng; Zhang, Cheng; Shan, Fei; Liu, Lei.

Afiliação

Li J; School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China.
Zhou L; Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen 518060, China.
Zhan Y; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Xu H; Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China.
Zhang C; School of Management, Fudan University, Shanghai 200433, China.
Shan F; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Liu L; Intelligent Medicine Institute, Fudan University, Shanghai 200030, China.

J Am Med Inform Assoc ; 29(12): 2041-2049, 2022 11 14.

Article em En | MEDLINE | ID: mdl-36228127

Assuntos

Adenocarcinoma de Pulmão; Neoplasias Pulmonares; Humanos; Inteligência Artificial; Adenocarcinoma de Pulmão/diagnóstico; Radiologistas; Sensibilidade e Especificidade; Neoplasias Pulmonares/diagnóstico por imagem

Palavras-chave

artificial intelligence; diagnostic performance; multicenter physicians; self-efficacy; time pressure

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adenocarcinoma de Pulmão / Neoplasias Pulmonares Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adenocarcinoma de Pulmão / Neoplasias Pulmonares Idioma: En Ano de publicação: 2022 Tipo de documento: Article