UTD Researcher Develops AI Tool to Predict Cardiac Arrests in Pediatric Patients

Written By Kathleen Otto

Sriraam Natarajan, PhD

The University of Texas at Dallas researchers have developed an artificial intelligence tool that could predict the risk of cardiac arrest in children hospitalized in cardiac intensive care units.

The technology is the latest work from the Statistical Artificial Intelligence and Relational Learning Group, a UT Dallas research lab where experts develop AI to assist health care providers. The researchers aim to provide tools to help doctors evaluate and monitor individual patients’ risks for a variety of conditions, including gestational diabetes and adverse drug interactions.

Kathleen Otto
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