Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Sep;11(3):355-368.
doi: 10.1007/s40119-022-00273-7. Epub 2022 Jul 12.

Applications of Machine Learning in Cardiology

Karthik Seetharam  1   2 , Sudarshan Balla  3 , Christopher Bianco  3 , Jim Cheung  4 , Roman Pachulski  5 , Deepak Asti  6 , Nikil Nalluri  6 , Astha Tejpal  6 , Parvez Mir  6 , Jilan Shah  6 , Premila Bhat  6 , Tanveer Mir  6 , Yasmin Hamirani  6
Affiliations
Review

Applications of Machine Learning in Cardiology

Karthik Seetharam et al. Cardiol Ther. 2022 Sep.

Abstract

In this digital era, artificial intelligence (AI) is establishing a strong foothold in commercial industry and the field of technology. These effects are trickling into the healthcare industry, especially in the clinical arena of cardiology. Machine learning (ML) algorithms are making substantial progress in various subspecialties of cardiology. This will have a positive impact on patient care and move the field towards precision medicine. In this review article, we explore the progress of ML in cardiovascular imaging, electrophysiology, heart failure, and interventional cardiology.

Keywords: Artificial intelligence; Cardiovascular Imaging; Electrophysiology; Heart failure; Interventional cardiology; Machine learning.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
ML improves diagnosis and prognosis
See this image and copyright information in PMC

References

    1. Seetharam K, Brito D, Farjo PD, Sengupta PP. The role of artificial intelligence in cardiovascular imaging: state of the art review. Front Cardiovasc Med. 2020;7:618849. - PMC - PubMed
    1. Al'Aref SJ, Anchouche K, Singh G, et al. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2019;40(24):1975–1986. doi: 10.1093/eurheartj/ehy404. - DOI - PubMed
    1. Seetharam K, Kagiyama N, Sengupta PP. Application of mobile health, telemedicine and artificial intelligence to echocardiography. Echo Res Pract. 2019;6(2):R41–R52. - PMC - PubMed
    1. Seetharam K, Min JK. Artificial intelligence and machine learning in cardiovascular imaging. Methodist Debakey Cardiovasc J. 2020;16(4):263–271. doi: 10.14797/mdcj-16-4-263. - DOI - PMC - PubMed
    1. Sengupta PP, Adjeroh DA. Will artificial intelligence replace the human echocardiographer? Circulation. 2018;138(16):1639–1642. doi: 10.1161/CIRCULATIONAHA.118.037095. - DOI - PMC - PubMed

LinkOut - more resources