Artificial intelligence and machine learning for cardiovascular computed tomography (CCT): A white paper of the society of cardiovascular computed tomography (SCCT)

Authors

Michelle C. Williams, Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK. Electronic address: michelle.williams@ed.ac.uk.
Jonathan R. Weir-McCall, Royal Papworth Hospital/University of Cambridge, Cambridge, UK.
Lauren A. Baldassarre, Section of Cardiovascular Medicine and Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Carlo N. De Cecco, Division of Cardiothoracic Imaging, Emory University, USA.
Andrew D. Choi, The George Washington University School of Medicine, Washington, USA.
Damini Dey, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
Marc R. Dweck, Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Ivana Isgum, Amsterdam University Medical Center, University of Amsterdam, Netherlands.
Márton Kolossvary, Gottsegen National Cardiovascular Center, Budapest, Hungary, and Physiological Controls Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary.
Jonathon Leipsic, University of British Columbia, Canada.
Andrew Lin, Victorian Heart Institute and Monash Health Heart, Victorian Heart Hospital, Monash University, Australia.
Michael T. Lu, Massachusetts General Hospital Cardiovascular Imaging Research Center/Harvard Medical School, USA.
Manish Motwani, Manchester University NHS Foundation Trust, UK.
Koen Nieman, Stanford University, USA.
Leslee Shaw, Icahn School of Medicine at Mount Sinai, New York, USA.
Marly van Assen, Division of Cardiothoracic Imaging, Emory University, USA.
Edward Nicol, Royal Brompton Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, UK.

Document Type

Journal Article

Publication Date

8-29-2024

Journal

Journal of cardiovascular computed tomography

DOI

10.1016/j.jcct.2024.08.003

Department

Medicine

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