Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithm

Background: This study aimed to increase the knowledge on how to enhance the performance of artificial intelligence (AI)-enabled electrocardiography (ECG) to detect atrial fibrillation (AF) on sinus rhythm ECG (SR-ECG). Methods: It is a retrospective analysis of a single-center, prospective cohort s...

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Autores principales:	Shinya Suzuki, Jun Motogi, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Takuya Umemoto, Naomi Hirota, Akira Hyodo, Keiichi Satoh, Takayuki Otsuka, Takuto Arita, Naoharu Yagi, Takeshi Yamashita
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2022-02-01
Colección:	International Journal of Cardiology: Heart & Vasculature
Materias:	Atrial fibrillation Artificial intelligence Electrocardiography
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2352906722000033
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