Author:
Covas Pedro,De Guzman Eison,Barrows Ian,Bradley Andrew J.,Choi Brian G.,Krepp Joseph M.,Lewis Jannet F.,Katz Richard,Tracy Cynthia M.,Zeman Robert K.,Earls James P.,Choi Andrew D.
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.
Subject
Cardiology and Cardiovascular Medicine
Reference66 articles.
1. Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations;Friedrich,2021
2. Al'Aref SJ, Van Assen M, Kim TS, van Rosendael A, Kolli KK, et al. Machine learning in cardiac CT: basic concepts and contemporary data;Singh;J Cardiovasc Comput Tomogr.,2018
3. Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry;Al'Aref;Eur Heart J.,2020
4. Machine learning and the future of cardiovascular care: JACC state-of-the-art review;Quer;J Am Coll Cardiol.,2021
5. Deep learning in cardiology;Bizopoulos;IEEE Rev Biomed Eng.,2019
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献