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AI ECG model shows promise for forecasting stroke risk a decade ahead
Researchers say a deep learning model built from routine electrocardiograms can estimate 10-year stroke risk using only ECG data plus age and sex, with results comparable to an established clinical score.
Key Takeaways
- ECG2Stroke uses a 10-second ECG plus age and sex to estimate stroke risk up to 10 years ahead.
- Researchers trained and validated the model on data from more than 200,000 patients.
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DT Editorial Team··via medicalxpress.com