An AI algorithm uses ECG data to accurately predict risk of future regurgitant heart valve diseases before symptoms or ultrasound changes appear.
Key Details
- 1International team trained AI on nearly 1 million ECG and echocardiogram records from 400,000+ patients in China.
- 2The model predicted risk of mitral, tricuspid, or aortic valvular regurgitation within years, with 69-79% accuracy.
- 3High-risk patients identified by AI were up to 10 times more likely to develop valve disease.
- 4Validation was conducted on 34,000+ US patients, supporting generalizability across populations.
- 5Trials with the NHS are scheduled for late 2025 to evaluate real-world performance.
- 6Research funded by British Heart Foundation, published in European Heart Journal.
Why It Matters

Source
EurekAlert
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