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Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan.
Mitsuyama, Yasuhito; Matsumoto, Toshimasa; Tatekawa, Hiroyuki; Walston, Shannon L; Kimura, Tatsuo; Yamamoto, Akira; Watanabe, Toshio; Miki, Yukio; Ueda, Daiju.
Afiliação
  • Mitsuyama Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Matsumoto T; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan; Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan.
  • Tatekawa H; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Walston SL; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Kimura T; Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Yamamoto A; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Watanabe T; Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Miki Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Ueda D; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan; Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan. Electronic address: ai.labo.ocu@gmail.com.
Lancet Healthy Longev ; 4(9): e478-e486, 2023 09.
Article em En | MEDLINE | ID: mdl-37597530
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Envelhecimento / Inteligência Artificial Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Lancet Healthy Longev Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Envelhecimento / Inteligência Artificial Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Lancet Healthy Longev Ano de publicação: 2023 Tipo de documento: Article