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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2022-02-01
Series:International Journal of Cardiology: Heart & Vasculature
Subjects:
Atrial fibrillation
Artificial intelligence
Electrocardiography
Online Access:http://www.sciencedirect.com/science/article/pii/S2352906722000033

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http://www.sciencedirect.com/science/article/pii/S2352906722000033

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