Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT)
1 Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK. Electronic address: michelle.williams@ed.ac.uk.
2 Royal Papworth Hospital/University of Cambridge, Cambridge, UK.
3 Section of Cardiovascular Medicine and Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
4 Division of Cardiothoracic Imaging, Emory University, USA.
5 The George Washington University School of Medicine, Washington, USA.
6 Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA.
7 Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
8 Amsterdam University Medical Center, University of Amsterdam, Netherlands.
9 Gottsegen National Cardiovascular Center, Budapest, Hungary, and Physiological Controls Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary.
10 University of British Columbia, Canada.
11 Victorian Heart Institute and Monash Health Heart, Victorian Heart Hospital, Monash University, Australia.
12 Massachusetts General Hospital Cardiovascular Imaging Research Center/Harvard Medical School, USA.
13 Manchester University NHS Foundation Trust, UK.
14 Stanford University, USA.
15 Icahn School of Medicine at Mount Sinai, New York, USA.
16 Royal Brompton Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, UK.