Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.

Hirota, Naomi; Suzuki, Shinya; Motogi, Jun; Nakai, Hiroshi; Matsuzawa, Wataru; Takayanagi, Tsuneo; Umemoto, Takuya; Hyodo, Akira; Satoh, Keiichi; Arita, Takuto; Yagi, Naoharu; Otsuka, Takayuki; Yamashita, Takeshi

Hirota, Naomi; Suzuki, Shinya; Motogi, Jun; Nakai, Hiroshi; Matsuzawa, Wataru; Takayanagi, Tsuneo; Umemoto, Takuya; Hyodo, Akira; Satoh, Keiichi; Arita, Takuto; Yagi, Naoharu; Otsuka, Takayuki; Yamashita, Takeshi.

Afiliação

Hirota N; Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Suzuki S; Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Motogi J; Nihon Kohden Corporation, Tokyo, Japan.
Nakai H; Information System Division, The Cardiovascular Institute, Tokyo, Japan.
Matsuzawa W; Nihon Kohden Corporation, Tokyo, Japan.
Takayanagi T; Nihon Kohden Corporation, Tokyo, Japan.
Umemoto T; Nihon Kohden Corporation, Tokyo, Japan.
Hyodo A; Nihon Kohden Corporation, Tokyo, Japan.
Satoh K; Nihon Kohden Corporation, Tokyo, Japan.
Arita T; Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Yagi N; Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Otsuka T; Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Yamashita T; Department of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.

Int J Cardiol Heart Vasc ; 44: 101172, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36654885

Palavras-chave

Artificial intelligence; Biological age; Cardiovascular event; Electrocardiogram

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Cardiol Heart Vasc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão País de publicação: Irlanda

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