Artificial intelligence-powered electrocardiogram is superior to NT-proBNP in predicting left ventricular systolic dysfunction in atrial fibrillation with 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.
Authors
- Jaxon Quillen (ORCID: https://orcid.org/0000-0001-7595-7630)
- Dan Sorajja (ORCID: https://orcid.org/0000-0003-1976-6420)
- Omar Baqal (ORCID: https://orcid.org/0000-0002-6090-2028)
- Xuan Ci Mee (ORCID: https://orcid.org/0009-0005-3878-5506)
- Ghee Kheng Lim
- Chadi Ayoub
- Reza Arsanjani
- Hicham Z. El Masry
- Peter Noseworthy
- Claire I. Yee
Institutions
- Peninsula Regional Medical Center (US)
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1016/j.hroo.2026.01.028
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00