Journal
FRONTIERS IN CARDIOVASCULAR MEDICINE
Volume 9, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fcvm.2022.839400
Keywords
artificial intelligence; machine learning; coronary artery disease; cardiovascular imaging; atherosclerosis
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This article discusses high-yield articles in cardiovascular imaging, focusing on the application of coronary CT angiography methods and atherosclerosis quantification in general cardiologists. It also examines the evolving use of artificial intelligence in medicine.
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.
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