A recent study presented at the 2025 American Headache Society Annual Meeting reveals that higher outputs from an artificial intelligence-electrocardiogram (AI-ECG) atrial fibrillation (AF) prediction model are linked to adverse cardiovascular events in migraine patients, especially those with aura. Conducted by Dr. Chia-Chun Chiang and colleagues, the retrospective cohort study analyzed 29,928 adult patients with a history of migraine who received at least one standard 12-lead ECG between 2000 and 2020. Results indicated that 15.6% experienced adverse vascular events, while 4.6% developed new-onset AF. The findings suggest that AI-ECG technology could swiftly identify migraine patients at risk for future cardiovascular complications, including acute myocardial infarction and stroke. This research contributes to improving risk prediction models and highlights the potential for earlier clinical interventions in migraine management. For more insights, explore coverage from the AHS 2025 meeting.
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Harnessing AI Tools for Cardiovascular Risk Prediction in Migraine: Insights from Dr. Chia-Chun Chiang
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