Abstract 4144067: AI-enabled Cardiac Chambers Volumetry in Coronary Artery Calcium Scans (AI-CAC) vs. ASCVD Pooled Cohorts Equation and PREVENT Risk Scores: The Multi-Ethnic Study of Atherosclerosis
Year: 2024
Type: conference-abstract
Source: Circulation
Authors: Morteza Naghavi, Anthony Reeves, Kyle Atlas, Chenyu Zhang, Thomas Atlas, Claudia Henschke, David Yankelevitz, Matthew Budoff, WENJUN FAN, Ruilin Yu, Andrea Branch, Ning Ma, Sion Roy, Khurram Nasir, Sabee Molloi, Zahi Fayad, Michael McConnell, Ioannis Kakadiaris, Javier Zulueta, David Maron, Jagat Narula, Prediman Shah, Kim Williams, george Abela, Daniel Levy, Nathan Wong
Institutions: Cornell University, Mount Sinai Hospital, University of California, Los Angeles, University of California, Irvine, Houston Methodist, Stanford Medicine, Stanford University, University of Houston, Icahn School of Medicine at Mount Sinai, Cedars-Sinai Medical Center, University of Louisville, Michigan State University, National Institutes of Health, National Heart, Lung, and Blood Institute
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4404359532