Calcium scores measure atherosclerosis, a buildup of fats in artery walls that can lead to serious heart problems. The AI model was trained on 9,543 CT scans annotated by experts and tested on 4,331 patients, and researchers found that the AI tool led to less radiation, less imaging and lower costs, according to the Sept. 14 study.
The study was funded in part through a research grant from the National Heart, Lung and Blood Institute of Health.
Read the full study here.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
