Artificial Intelligence for Assessment of Epicardial Adipose Tissue on Coronary CT Angiography

JACC Cardiovasc Imaging. 2023 Jun;16(6):817-819. doi: 10.1016/j.jcmg.2022.12.004. Epub 2023 Feb 8.

Authors

Daniel S Berman¹, Andrew Lin²

Affiliations

¹ Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA. Electronic address: [email protected].
² Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University and MonashHeart, Monash Health, Melbourne, Australia.

PMID: 36881422
DOI: 10.1016/j.jcmg.2022.12.004

No abstract available

Keywords: artificial intelligence; coronary CT angiography; deep learning; epicardial adipose tissue.

Publication types

Editorial
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Adipose Tissue / diagnostic imaging
Artificial Intelligence
Computed Tomography Angiography*
Coronary Angiography
Coronary Artery Disease* / diagnostic imaging
Humans
Pericardium / diagnostic imaging
Predictive Value of Tests