AI-powered ECG could help guide lifelong heart monitoring for patients with repaired tetralogy of Fallot
Medical Xpress
February 18, 2026
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. The study, supported by the National Institutes of Health, is published in the European Heart Journal: Digital Health.
Verticals
healthmedical
Originally published on Medical Xpress on 2/18/2026