How to keep artificial intelligence evolving in the medical imaging world? Challenges and opportunities.

Xue, Huadan; Hu, Ge; Hong, Nan; Dunnick, N Reed; Jin, Zhengyu

Xue, Huadan; Hu, Ge; Hong, Nan; Dunnick, N Reed; Jin, Zhengyu.

Afiliação

Xue H; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Hu G; Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Hong N; Department of Radiology, Peking University People's Hospital, Beijing 100044, China. Electronic address: hongnan1968@163.com.
Dunnick NR; Department of Radiology, University of Michigan, Ann Arbor 48109, USA. Electronic address: rdunnick@med.umich.edu.
Jin Z; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China. Electronic address: jinzy@pumch.cn.

Sci Bull (Beijing) ; 68(7): 648-652, 2023 04 15.

Article em En | MEDLINE | ID: mdl-36964087

Assuntos

Inteligência Artificial; Diagnóstico por Imagem; Aprendizado de Máquina; Radiografia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Diagnóstico por Imagem Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sci Bull (Beijing) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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