Heart rhythm
Artificial intelligence-enabled electrocardiographic sex discordance and the risk of incident atrial fibrillation: A multinational cohort study.
Hanjin Park, Oh-Seok Kwon, Dong Won Kim, Daehoon Kim, Je-Wook Park, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Boyoung Joung, Moon-Hyoung Lee, Dukyong Yoon, Hui-Nam Pak
Published: 202510.1016/j.hrthm.2025.12.005
Abstract
BACKGROUND: Binary classification of sex fails to capture the sex-related continuum of atrial fibrillation (AF) risk. OBJECTIVE: This study aimed to develop an artificial intelligence (AI)-enabled electrocardiography (ECG) model for sex prediction an…
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