AI-ECG AF prediction model output

1. AI-ECG AF prediction model output predicts atrial fibrillation in humans (aHR 1.31 (95% CI 1.26 to 1.37)).

   “Higher AI-ECG AF prediction model output at baseline also predicted a higher likelihood of having new-onset AF during the study period (aHR: 1.31 [1.26 to 1.37])”

   Humanspatients with migrainemedian follow-up time was 54 monthsn = 29,928

   Higher artificial intelligence-ECG atrial fibrillation prediction model output and estimated physiologic aging predict higher risk of adverse vascular events in patients with migraine

   Headache·20 Feb 2026

More on Atrial fibrillation

1. AI-ECG AF prediction model output predicts adverse vascular events in humans (aHR 1.15 (95% CI 1.12 to 1.18) per 10% increase).

   “A higher AF prediction model output was associated with a higher risk of adverse vascular outcomes (adjusted hazard ratio [aHR]:1.15 [95% confidence interval: 1.12 to 1.18] for every 10% increase in prediction model output)”

   Humanspatients with migrainefor every 10% increase in prediction model outputmedian follow-up time was 54 monthsn = 29,928

   Higher artificial intelligence-ECG atrial fibrillation prediction model output and estimated physiologic aging predict higher risk of adverse vascular events in patients with migraine

   Headache·20 Feb 2026