Researchers at Case Western Reserve University, University Hospitals and Houston Methodist will harness the power of artificial intelligence (AI) to more accurately predict risk of heart failure and other cardiovascular events, including estimating when an adverse event might occur, by developing an AI model that “learns” from patient scans.
Cardiovascular disease is the leading cause of death worldwide, claiming over 17 million lives every year, according to the American Heart Association. Accurately identifying individuals at high risk remains a crucial unmet need. This initiative bridges the gap by developing advanced AI tools to analyze images from calcium-scoring computed tomography (CT) scans, a widely used diagnostic tool. The scans, which indicate how much plaque is in a patient’s arteries, also…