Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis

Frontiers in Cardiovascular Medicine

article

Pedro Covas¹  Eison De Guzman²  Ian Barrows¹  Andrew J. Bradley¹  Brian G. Choi¹  Joseph M. Krepp¹  Jannet F. Lewis¹  Richard Katz¹  Cynthia M. Tracy¹  Robert K. Zeman³  James P. Earls³  Andrew D. Choi¹ 

[1] Division of Cardiology, The George Washington University School of Medicine;Department of Internal Medicine, The George Washington University School of Medicine;Department of Radiology, The George Washington University School of Medicine

关键词: artificial intelligence;    machine learning;    coronary artery disease;    cardiovascular imaging;    atherosclerosis;   

DOI  :  10.3389/fcvm.2022.839400

学科分类：地球科学(综合)

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY