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Development of artificial intelligence-based slow-motion echocardiography and clinical usefulness for evaluating regional wall motion abnormalities.
Sahashi, Yuki; Takeshita, Ryo; Watanabe, Takatomo; Ishihara, Takuma; Sekine, Ayako; Watanabe, Daichi; Ishihara, Takeshi; Ichiryu, Hajime; Endo, Susumu; Fukuoka, Daisuke; Hara, Takeshi; Okura, Hiroyuki.
Afiliação
  • Sahashi Y; Department of Cardiology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu, Japan. sahashiyuuki@gmail.com.
  • Takeshita R; Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University Graduate School of Medicine, Gifu, Japan.
  • Watanabe T; Department of Cardiology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu, Japan.
  • Ishihara T; Division of Clinical Laboratory, Gifu University Hospital, Gifu, Japan.
  • Sekine A; Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gifu, Japan.
  • Watanabe D; Division of Clinical Laboratory, Gifu University Hospital, Gifu, Japan.
  • Ishihara T; Division of Clinical Laboratory, Gifu University Hospital, Gifu, Japan.
  • Ichiryu H; Department of Pharmacy, Gifu University Hospital, Gifu, Japan.
  • Endo S; Department of Cardiology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu, Japan.
  • Fukuoka D; Department of Cardiology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu, Japan.
  • Hara T; Department of Cardiology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu City, Gifu, Japan.
  • Okura H; Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University Graduate School of Medicine, Gifu, Japan.
Int J Cardiovasc Imaging ; 40(2): 385-395, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37940734
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Isquemia Miocárdica Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Isquemia Miocárdica Idioma: En Ano de publicação: 2024 Tipo de documento: Article