How synergy between mechanistic and statistical models is impacting research in atrial fibrillation.

Bai, Jieyun; Lu, Yaosheng; Wang, Huijin; Zhao, Jichao

Bai, Jieyun; Lu, Yaosheng; Wang, Huijin; Zhao, Jichao.

Afiliación

Bai J; Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Information Technology, Jinan University, Guangzhou, China.
Lu Y; College of Information Science and Technology, Jinan University, Guangzhou, China.
Wang H; Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Information Technology, Jinan University, Guangzhou, China.
Zhao J; College of Information Science and Technology, Jinan University, Guangzhou, China.

Front Physiol ; 13: 957604, 2022.

Article en En | MEDLINE | ID: mdl-36111152

Palabras clave

anti-arrhythmic drugs; artificial intelligence; atrial fibrillation; catheter ablation; computational modelling; digital twin; heart rhythm; machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Physiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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