Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis

Pedro Covas; Eison De Guzman; Ian Barrows; Andrew J Bradley; Brian G Choi; Joseph M Krepp; Jannet F Lewis; Richard Katz; Cynthia M Tracy; Robert K Zeman; James P Earls; Andrew D Choi

doi:10.3389/fcvm.2022.839400

Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis

Front Cardiovasc Med. 2022 Mar 21:9:839400. doi: 10.3389/fcvm.2022.839400. eCollection 2022.

Authors

Affiliations

¹ Division of Cardiology, The George Washington University School of Medicine, Washington, DC, United States.
² Department of Internal Medicine, The George Washington University School of Medicine, Washington, DC, United States.
³ Department of Radiology, The George Washington University School of Medicine, Washington, DC, United States.

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.

Keywords: artificial intelligence; atherosclerosis; cardiovascular imaging; coronary artery disease; machine learning.

Publication types

Review