Artificial Intelligence‐Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices

ABSTRACT Background Artificial intelligence (AI)‐enhanced electrocardiography (ECG) has been developed to detect paroxysmal atrial fibrillation (AF) from sinus rhythm ECGs (SR‐ECGs). For broader applicability, model development across institutions and ECG systems is essential. Methods We developed a...

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Главные авторы:	Shinya Suzuki, Mari Amino, Nobumoto Moriai, Yoshifumi Sumioka, Akira Hyodo, Keiichi Satoh, Tsuneo Takayanagi, Takuya Umemoto, Yota Sekiguchi, Naomi Hirota, Atsuhiko Yagishita, Yuji Ikari, Taira Nakayama, Yoichi Ohnuki, Eiichiro Nagata, Jun Motogi, Takeshi Yamashita, Koichiro Yoshioka
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Wiley 2026-03-01
Серии:	Annals of Noninvasive Electrocardiology
Предметы:	artificial intelligence atrial fibrillation electrocardiography
Online-ссылка:	https://doi.org/10.1111/anec.70159
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