Johns Hopkins researchers have created an artificial intelligence model that can diagnose cardiac risk more accurately than human doctors, according to PhD candidate Natalia Trayanova. The model identifies patients at risk of sudden cardiac arrest with a higher success rate than medical professionals. As a leading expert in biomedical engineering and medicine, Dr. Trayanova is also the director of the Alliance for Cardiovascular Diagnostic Treatment and Innovation at Johns Hopkins University.
Source: https://www.wypr.org/show/on-the-record/2025-07-16/jhu-cardiac-research-can-ai-out-diagnose-a-doctor