AI-Detected Asymptomatic Atrial Fibrillation and Risk of Incident Ischemic Stroke and Cardiovascular Events: A UK Biobank Study
AI-detected asymptomatic AF identified individuals at elevated risk of ischemic stroke and major adverse cardiovascular events. As ischemic stroke is a hallmark complication of atrial fibrillation, these findings support the hypothesis that AI-ECG models may capture subclinical AF-related risk not detected by conventional clinical assessment. This approach may help extend the window for preventive interventions in populations without clinically diagnosed AF.
Authors
- Zareen Farukhi (ORCID: https://orcid.org/0000-0002-4477-4935)
- Olga Demler (ORCID: https://orcid.org/0000-0003-3355-3210)
- David Brueggemann
- Arjun Kishor Butani
Institutions
- Brigham and Women's Hospital (US)
- ETH Zurich (CH)
- Massachusetts General Hospital (US)
- University Hospital of Zurich (CH)
- Swiss Data Science Center (CH)
Publication Details
- Journal
- medRxiv
- Published
- 2026-02-22
- DOI
- https://doi.org/10.64898/2026.02.13.26346138
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Heart Association
- Kowa Company
- National Institutes of Health
- National Heart, Lung, and Blood Institute