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.