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AI ECG model shows promise for forecasting stroke risk a decade ahead
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.
- The model was especially strong at predicting cardioembolic stroke, a potentially preventable subtype.
- Authors said prospective real-world studies are still needed before clinical deployment.
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DT Editorial Team··via medicalxpress.com