UF Health Researchers Propose AI Model To Predict Mortality in Coronary Artery Disease Patients

An interdisciplinary team led by University of Florida College of Pharmacy researchers has proposed an artificial intelligence, or AI, model to predict long-term mortality in patients with coronary artery disease. The study was published in the Journal of Biomedical Informatics.

Characterized by the narrowing of coronary arteries due to the buildup of fatty plaque, coronary artery disease, or CAD, limits blood flow to the heart. The most common form of heart disease, CAD caused more than 350,000 deaths in the United States in 2022, according to the National Heart, Lung, and Blood Institute.

A team led by Md Mahmudul Hasan, Ph.D., an assistant professor in the UF College of Pharmacy Department of Pharmaceutical Outcomes and Policy and the UF Warrington College of Business Department of Information Systems and Operations Management, hopes to improve treatment outcomes and reduce mortality in CAD patients with their lightweight graph neural network.

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