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Volume 10
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Review

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease

by
Nitesh Gautam
1,
Prachi Saluja
1,
Abdallah Malkawi
2,
Mark G. Rabbat
3,
Mouaz H. Al-Mallah
4,
Gianluca Pontone
5,
Yiye Zhang
6,
Benjamin C. Lee
7 and
Subhi J. Al’Aref
2,*
1
Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
2
Department of Medicine, Division of Cardiology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
3
Division of Cardiology, Loyola University Medical Center, Chicago, IL 60153, USA
4
Houston Methodist DeBakey Heart & Vascular Center, Houston, TX 77030, USA
5
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
6
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10021, USA
7
Department of Radiology, Dalio Institute of Cardiovascular Imaging, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY 10021, USA
*
Author to whom correspondence should be addressed.
Healthcare 2022, 10(2), 232; https://doi.org/10.3390/healthcare10020232
Submission received: 14 December 2021 / Revised: 19 January 2022 / Accepted: 24 January 2022 / Published: 26 January 2022
(This article belongs to the Special Issue Artificial Intelligence (AI) and Machine Learning (ML) in Human Health and Healthcare)
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Abstract

Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated with substantial economic burden on healthcare systems around the world. Coronary artery disease, as one disease entity under the CVDs umbrella, had a prevalence of 7.2% among adults in the United States and incurred a financial burden of 360 billion US dollars in the years 2016–2017. The introduction of artificial intelligence (AI) and machine learning over the last two decades has unlocked new dimensions in the field of cardiovascular medicine. From automatic interpretations of heart rhythm disorders via smartwatches, to assisting in complex decision-making, AI has quickly expanded its realms in medicine and has demonstrated itself as a promising tool in helping clinicians guide treatment decisions. Understanding complex genetic interactions and developing clinical risk prediction models, advanced cardiac imaging, and improving mortality outcomes are just a few areas where AI has been applied in the domain of coronary artery disease. Through this review, we sought to summarize the advances in AI relating to coronary artery disease, current limitations, and future perspectives.
Keywords: artificial intelligence; coronary artery disease; major adverse cardiovascular events; fractional flow reserve; cardiac computed tomography artificial intelligence; coronary artery disease; major adverse cardiovascular events; fractional flow reserve; cardiac computed tomography

Share and Cite

MDPI and ACS Style

Gautam, N.; Saluja, P.; Malkawi, A.; Rabbat, M.G.; Al-Mallah, M.H.; Pontone, G.; Zhang, Y.; Lee, B.C.; Al’Aref, S.J. Current and Future Applications of Artificial Intelligence in Coronary Artery Disease. Healthcare 2022, 10, 232. https://doi.org/10.3390/healthcare10020232

AMA Style

Gautam N, Saluja P, Malkawi A, Rabbat MG, Al-Mallah MH, Pontone G, Zhang Y, Lee BC, Al’Aref SJ. Current and Future Applications of Artificial Intelligence in Coronary Artery Disease. Healthcare. 2022; 10(2):232. https://doi.org/10.3390/healthcare10020232

Chicago/Turabian Style

Gautam, Nitesh, Prachi Saluja, Abdallah Malkawi, Mark G. Rabbat, Mouaz H. Al-Mallah, Gianluca Pontone, Yiye Zhang, Benjamin C. Lee, and Subhi J. Al’Aref. 2022. "Current and Future Applications of Artificial Intelligence in Coronary Artery Disease" Healthcare 10, no. 2: 232. https://doi.org/10.3390/healthcare10020232

APA Style

Gautam, N., Saluja, P., Malkawi, A., Rabbat, M. G., Al-Mallah, M. H., Pontone, G., Zhang, Y., Lee, B. C., & Al’Aref, S. J. (2022). Current and Future Applications of Artificial Intelligence in Coronary Artery Disease. Healthcare, 10(2), 232. https://doi.org/10.3390/healthcare10020232

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