Automated CT biomarkers predict cardiovascular events better than current practice

Researchers at the NIH and University of Wisconsin demonstrated that using artificial intelligence to analyze CT scans can produce more accurate risk assessment for major cardiovascular events than current, standard methods such as the Framingham risk score and body-mass index. More than 80 million body CT scans are performed every year, but valuable prognostic information is typically overlooked. In this study, abdominal scans done for routine colorectal cancer screening revealed important information about heart-related risks.