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AI-Powered ECG Could Help Guide Lifelong Heart Monitoring for Patients With Repaired Tetralogy of Fallot

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) to identify patients with repaired tetralogy of Fallot who may be at risk for harmful heart changes typically detected by cardiac MRI.

February 18, 2026


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Angell Street Psychiatry
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