Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis

Pedro Covas, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Eison De Guzman, Department of Internal Medicine, The George Washington University School of Medicine, Washington, DC, United States.
Ian Barrows, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Andrew J. Bradley, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Brian G. Choi, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Joseph M. Krepp, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Jannet F. Lewis, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Richard Katz, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Cynthia M. Tracy, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
Robert K. Zeman, Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States.
James P. Earls, Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States.
Andrew D. Choi, Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.

Document Type

Journal Article

Publication Date

1-1-2022

Journal

Frontiers in cardiovascular medicine

Volume

9

DOI

10.3389/fcvm.2022.839400

Keywords

artificial intelligence; atherosclerosis; cardiovascular imaging; coronary artery disease; machine learning

Abstract

Coronary artery disease is a leading cause of death worldwide. There has been a myriad of advancements in the field of cardiovascular imaging to aid in diagnosis, treatment, and prevention of coronary artery disease. The application of artificial intelligence in medicine, particularly in cardiovascular medicine has erupted in the past decade. This article serves to highlight the highest yield articles within cardiovascular imaging with an emphasis on coronary CT angiography methods for % stenosis evaluation and atherosclerosis quantification for the general cardiologist. The paper finally discusses the evolving paradigm of implementation of artificial intelligence in real world practice.

Department

Medicine

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