An AI-powered electrocardiogram is superior to NT-proBNP in predicting left ventricular ejection fraction below 35% in atrial fibrillation with rapid ventricular response.
Does artificial intelligence-powered electrocardiogram improve the prediction of left ventricular systolic dysfunction in patients with atrial fibrillation with rapid ventricular response compared to NT-proBNP?
Patients with atrial fibrillation with rapid ventricular response
Artificial intelligence-powered electrocardiogram (AI-ECG)
NT-proBNP
Prediction of left ventricular systolic dysfunction (LVEF <35%)surrogate
AI-ECG may serve as a superior non-invasive tool compared to NT-proBNP for detecting left ventricular systolic dysfunction in patients presenting with atrial fibrillation and rapid ventricular response.
Figure 1 ROC curve analysis of AI-ECG and NT-proBNP in predicting LVEF ,35%.AI-ECG 5 artificial intelligence-powered electrocardiogram; LVEF 5 left ventricular ejection fraction; NT-proBNP 5 N-terminal pro-B-type natriuretic peptide; ROC 5 receiver operating characteristics.
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Baqal et al. (Wed,) reported a other. An AI-powered electrocardiogram is superior to NT-proBNP in predicting left ventricular ejection fraction below 35% in atrial fibrillation with rapid ventricular response.
www.synapsesocial.com/papers/69df2a4be4eeef8a2a6af792 — DOI: https://doi.org/10.1016/j.hroo.2026.01.028
Omar Baqal
Claire I. Yee
Jaxon Quillen
Heart Rhythm O2
Mayo Clinic
Mayo Clinic in Arizona
Mayo Clinic in Florida
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