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Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.
Jin, Kwang Nam; Kim, Eun Young; Kim, Young Jae; Lee, Gi Pyo; Kim, Hyungjin; Oh, Sohee; Kim, Yong Suk; Han, Ju Hyuck; Cho, Young Jun.
Afiliação
  • Jin KN; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Korea.
  • Kim EY; Seoul National University College of Medicine, Seoul, Korea.
  • Kim YJ; Department of Radiology, Gil Medical Center, Incheon, Korea.
  • Lee GP; Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, Korea.
  • Kim H; Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, Korea.
  • Oh S; Seoul National University College of Medicine, Seoul, Korea.
  • Kim YS; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Han JH; Department of Biostatistics, SMG-SNU Boramae Medical Center, Seoul, Korea.
  • Cho YJ; Department of Medical Artificial Intelligence, Konyang University, Daejeon, Korea.
Eur Radiol ; 32(5): 3469-3479, 2022 May.
Article em En | MEDLINE | ID: mdl-34973101
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Radiografia Torácica Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Radiografia Torácica Idioma: En Ano de publicação: 2022 Tipo de documento: Article