AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure.

Saved in:
Bibliographic Details
Title: AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure.
Authors: Naghavi M; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Mirjalili SR; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Atlas K; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Reeves AP; Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA., Zhang C; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Wasserthal J; Clinic of Radiology and Nuclear Medicine, University Hospital Basel, , Basel, Switzerland., Azimi A; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Hashemi A; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Mozafarybazargany M; Artificial Intelligence Research Unit, HeartLung.AI, Houston, TX, USA., Atlas T; Department of Radiology, Tustin Teleradiology, Tustin, CA, USA., Henschke CI; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Yankelevitz DF; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Zulueta JJ; Pulmonary, Critical Care and Sleep Medicine, Mount Sinai Morningside Hospital, New York, NY, USA., Mechanick JI; Kravis Center for Clinical Cardiovascular Health, Mount Sinai Fuster Heart Hospital, New York, NY, USA., Branch AD; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Yip R; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Roy SK; The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA., Nasir K; Division of Cardiovascular Prevention and Wellness, Houston Methodist Hospital, Texas, USA., Fayad Z; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., McConnell MV; Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA., Kakadiaris IA; Computational Biomedicine Laboratory, Department of Computer Science, University of Houston, Houston, TX, USA., Rana JS; Division of Cardiology, Kaiser Permanente Oakland Medical Center, California, USA., Vliegenthart R; Department of Radiology, University Medical Center, Groningen, GZ, The Netherlands., Maron DJ; Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA., Narula J; Cardiovascular Research Institute, University of Texas Health-McGovern Medical School, Houston, TX, USA., Williams K Sr; Department of Medicine, University of Louisville, Louisville, KY, USA., Shah PK; Department of Cardiology, Atherosclerosis Research Center, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Budoff MJ; The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA., Levy D; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA., Mehran R; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Kloner RA; Depatment of Cardiovascular Research, Huntington Medical Research Institutes, Pasadena, CA, USA.; Department of Medicine, Division of Cardiovascular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Wong ND; Heart Disease Prevention Program, Mary and Steve Wen Cardiovascular Division, University of California Irvine, Irvine, CA, USA.
Source: European heart journal. Cardiovascular Imaging [Eur Heart J Cardiovasc Imaging] 2026 Mar 27; Vol. 27 (4), pp. 791-802.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101573788 Publication Model: Print Cited Medium: Internet ISSN: 2047-2412 (Electronic) Linking ISSN: 20472404 NLM ISO Abbreviation: Eur Heart J Cardiovasc Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2047-2412
DOI:10.1093/ehjci/jeag027