Satomi Hamada, Miki Amemiya, Mie Ochida, S. Tao, I. Kawamura, T. Sasano
2026.2.1Journal of Arrhythmia
tlooto Summary
This work evaluated the reproducibility and effect of recording condition on the estimation of AF risk using an electrocardiography (ECG) machine equipped with an AI‐based program.
Abstract
Although artificial intelligence (AI) has been developed to identify patients with paroxysmal atrial fibrillation (PAF) during sinus rhythm, information on its variability remains limited. We evaluated the reproducibility and effect of recording condition on the estimation of AF risk using an electrocardiography (ECG) machine equipped with an AI‐based program.
Citation format
HAMADA, Satomi, et al. Temporal variability and influence of measurement conditions of ai‐based atrial fibrillation risk estimation. Journal of Arrhythmia, 2026, 42(1): e70280.