U.S., July 17 -- ClinicalTrials.gov registry received information related to the study (NCT07708818) titled 'An AI-ECG-Based Approach for Dynamic Assessment of Heart Failure Risk and Myocardial Recovery Following Atrial Fibrillation Ablation' on July 11.

Brief Summary: Background Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising digital biomarker for detecting latent myocardial dysfunction and predicting cardiovascular risk. However, whether serial AI-derived risk estimates reflect myocardial recovery following therapeutic intervention remains unknown.

Objective The DYNAMIC-AF HF Study aims to evaluate longitudinal changes in AI-ECG-derived heart failure (HF) risk after catheter ablation in patients w...