JHU cardiac research: Can AI out diagnose a doctor?

By Ashley Sterner,

Published July 16, 2025 at 10:56 AM EDT

MRI imaging data of a human heart. Photo: JHU

An artificial intelligence model that can identify patients most at risk of dying of sudden cardiac arrest, at a rate much higher than human doctors can, has been developed by Natalia Trayanova, PhD. Trayanova is the Murray B. Sachs Professor in the Department of Biomedical Engineering at Johns Hopkins University, where she’s also a professor of medicine. She also directs the Alliance for Cardiovascular Diagnostic Treatment and Innovation.

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Ashley Sterner

Ashley Sterner is the co-host of WYPR’s On The Record. With co-host Sheilah Kast, Ashley interviews artists, scientists, community leaders, and others.

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Melissa Gerr

Melissa Gerr is a Senior Producer for On the Record. She started in public media at Twin Cities Public Television in St. Paul, Minn., where she is from, and then worked as a field producer for Oregon Public Broadcasting in Portland. She made the jump to audio-lover in Baltimore as a digital media editor at Mid-Atlantic Media and Laureate Education, Inc. and as a field producer for "Out of the Blocks." Her beat is typically the off-beat with an emphasis on science, culture and things that make you say, 'Wait, what?'

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