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Artificial intelligence-powered electrocardiogram is superior to NT-proBNP in predicting left ventricular systolic dysfunction in atrial fibrillation with rapid ventricular response

Year: 2026

Type: article

Abstract: Despite its prevalence, risk stratification for tachycardia-induced cardiomyopathy remains poorly understood. A deep learning model developed at Mayo Clinic uses standard 12-lead electrocardiograms (ECGs) to predict reduced left ventricular ejection fraction (LVEF) (≤35%) in the general population with high accuracy (area under the curve, 0.93).1 The performance of artificial intelligence (AI)–powered ECG (AI-ECG) in predicting systolic dysfunction among patients with atrial fibrillation (AF) with rapid ventricular response (AF RVR) has not been previously explored.

Source: Heart Rhythm O2

DOI: 10.1016/j.hroo.2026.01.028