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.
This article was originally published on MedicalXpress.com
