Higher Atrial Fibrillation Probability and Delta Age Computed by Artificial Intelligence-ECG Models Predict More Cardiovascular Events in Patients with Migraine (P4-12.001)
To investigate the predictive ability of artificial intelligence (AI)-electrocardiogram (ECG) models on adverse vascular events in patients with migraine.
Authors
- Francisco López-Jiménez (ORCID: https://orcid.org/0000-0001-5788-9734)
- Paul A. Friedman (ORCID: https://orcid.org/0000-0001-5052-2948)
- Kathryn E. Mangold (ORCID: https://orcid.org/0000-0001-7048-2699)
- Chieh‐Ju Chao (ORCID: https://orcid.org/0000-0001-6155-0266)
- Peter A. Noseworthy (ORCID: https://orcid.org/0000-0002-4308-0456)
- Zachi Itzhak Attia (ORCID: https://orcid.org/0000-0002-9706-7900)
- Chia‐Chun Chiang (ORCID: https://orcid.org/0000-0001-7802-7172)
- Ping Yang (ORCID: https://orcid.org/0000-0002-8588-847X)
- Nan Zhang (ORCID: https://orcid.org/0000-0002-0985-4227)
Institutions
- WinnMed (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211054
- Primary Topic
- Migraine and Headache Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00