AI-enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.

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Title: AI-enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.
Authors: Naghavi M; HeartLung.AI., Reeves A; Cornell University., Atlas K; HeartLung.AI., Zhang C; HeartLung.AI., Atlas T; Tustin Teleradiology., Henschke C; Mount Sinai Hospital., Yankelevitz D; Mount Sinai Hospital., Budoff M; The Lundquist Institute for Biomedical Innovation at Harbor UCLA Medical Center, Torrace, CA., Li D; The Lundquist Institute., Roy S; The Lundquist Institute., Nasir K; Houston Methodist DeBakey Heart & Vascular Center., Narula J; UTHealth Houston., Kakadiaris I; The University of Texas Health Science Center at Houston., Molloi S; Department of Radiology, University of California Irvine., Fayad Z; Icahn School of Medicine at Mount Sinai., Maron D; Stanford University., McConnell M; Stanford., Williams K; University of Louisville., Levy D; National Heart Lung and Blood Institute., Wong N; University of California at Irvine, Irvine.
Source: Research square [Res Sq] 2024 Jun 20. Date of Electronic Publication: 2024 Jun 20.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2693-5015
DOI:10.21203/rs.3.rs-4433105/v1