Why the study?
The application of artificial intelligence in cardiovascular medicine has rapidly expanded, warranting a review of high-yield cardiovascular imaging literature for the general cardiologist.
Do artificial intelligence and machine learning improve diagnostic accuracy and risk prediction in cardiovascular imaging for coronary artery disease?
Do artificial intelligence and machine learning improve diagnostic accuracy and risk prediction in cardiovascular imaging for coronary artery disease?
Artificial intelligence and machine learning applications in cardiovascular imaging offer improved diagnostic accuracy for coronary stenosis and enhanced risk prediction compared to traditional methods.
May augment CAD diagnosis and risk prediction in imaging; leaves open prospective validation before clinical adoption.
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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Covas et al. (2022) studied this question.
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