Transthoracic echocardiographic and artificial intelligence-enabled electrocardiography predictors of atrial arrhythmia recurrence after surgical ablation
Preoperative AI-ECG biomarkers (AF probability, age discordance) and TTE markers of atrial remodeling independently predicted AF/AFl recurrence after surgical AF/AFl ablation. Integration of these metrics improved risk stratification.
Authors
- Ammar M. Killu
- Alan Sugrue (ORCID: https://orcid.org/0000-0001-9921-6968)
- Konstantinos C. Siontis (ORCID: https://orcid.org/0000-0002-6658-0971)
- Paul A. Friedman (ORCID: https://orcid.org/0000-0001-5052-2948)
- Ikram ul Haq (ORCID: https://orcid.org/0000-0001-9453-9952)
- Gabor Bagameri
- Peter A. Noseworthy (ORCID: https://orcid.org/0000-0002-4308-0456)
- Arman Arghami (ORCID: https://orcid.org/0000-0002-7398-0738)
- Zachi Itzhak Attia (ORCID: https://orcid.org/0000-0002-9706-7900)
- Kimberly A. Holst (ORCID: https://orcid.org/0000-0002-8936-522X)
- Freddy Del‐Carpio Munoz (ORCID: https://orcid.org/0000-0001-9511-1245)
- Dylan Goings (ORCID: https://orcid.org/0009-0002-5660-8931)
- M. Brandt (ORCID: https://orcid.org/0009-0002-6229-1328)
Institutions
- Mayo Clinic (US)
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1016/j.hroo.2025.11.001
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00