ID: 4347362 FROM PREDICTION TO INTERVENTION: MACHINE LEARNING IDENTIFIES MODIFIABLE DRIVERS OF AF PROGRESSION FOR CLINICAL ACTION
Atrial fibrillation (AF) commonly progresses from paroxysmal to persistent and permanent forms, a transition that is associated with substrate development and is linked to worse clinical outcomes yet remains poorly addressed in routine practice. Identifying the modifiable risk factors associated with this progression is critical for prevention, especially in underserved populations such as the Louisiana cohort.
Authors
- Amitabh C. Pandey (ORCID: https://orcid.org/0000-0002-1541-7023)
- Nassir F. Marrouche (ORCID: https://orcid.org/0000-0003-0454-0541)
- Hadi Younes (ORCID: https://orcid.org/0000-0002-7202-1164)
- Charbel Noujaim (ORCID: https://orcid.org/0000-0002-3179-4398)
- Estelle Taki
- Omar Kreidieh (ORCID: https://orcid.org/0000-0001-6189-2821)
- Charles Campbell
- Yingshuo Liu (ORCID: https://orcid.org/0000-0003-4780-8384)
- Ghassan Bidaoui (ORCID: https://orcid.org/0000-0002-3562-7386)
- Hongyu Miao (ORCID: https://orcid.org/0000-0002-4131-3164)
- Chanho Lim (ORCID: https://orcid.org/0000-0001-9998-5601)
- Michel Abou Khalil (ORCID: https://orcid.org/0009-0007-2038-7678)
- Joe Abi‐Rached (ORCID: https://orcid.org/0000-0003-3227-6143)
- Xiang Li (ORCID: https://orcid.org/0000-0002-0501-0502)
- Eli Tsakiris (ORCID: https://orcid.org/0009-0003-2542-941X)
- Mayana Bsoul
- Feng Han (ORCID: https://orcid.org/0000-0002-9337-7936)
- Yishi Jia (ORCID: https://orcid.org/0009-0007-2026-2912)
- Duo Yu (ORCID: https://orcid.org/0000-0002-8988-1646)
- Mohammad Montaser Atasi (ORCID: https://orcid.org/0009-0008-2046-209X)
- Christian M. Massad (ORCID: https://orcid.org/0009-0002-3441-0617)
- S M Hubbard (ORCID: https://orcid.org/0009-0005-6501-9487)
- Swati Rao (ORCID: https://orcid.org/0000-0001-8460-8408)
- Abboud Hassan (ORCID: https://orcid.org/0009-0001-4263-9553)
- Yara Menassa
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.hroo.2025.07.074
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00