Robert J H Miller, Aditya Killekar, Aakash Shanbhag, Bryan Bednarski, Anna M Michalowska, Terrence D Ruddy, Andrew J Einstein, David E Newby, Mark Lemley, Konrad Pieszko, Serge D Van Kriekinge, Paul B Kavanagh, Joanna X Liang, Cathleen Huang, Damini Dey, Daniel S Berman, Piotr J Slomka
Chest computed tomography is one of the most common diagnostic tests, with 15 million scans performed annually in the United States. Coronary calcium can be visualized on these scans, but other measures of cardiac risk such as atrial and ventricular volumes have classically required administration of contrast. Here we show that a fully automated pipeline, incorporating two artificial intelligence models, automatically quantifies coronary calcium, left atrial volume, left ventricular mass, and other cardiac chamber volumes in 29,687 patients from three cohorts...
March 29, 2024: Nature Communications