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Open Access 12-07-2022 | Artificial Intelligence | Review

Applications of Machine Learning in Cardiology

Authors: Karthik Seetharam, Sudarshan Balla, Christopher Bianco, Jim Cheung, Roman Pachulski, Deepak Asti, Nikil Nalluri, Astha Tejpal, Parvez Mir, Jilan Shah, Premila Bhat, Tanveer Mir, Yasmin Hamirani

Published in: Cardiology and Therapy | Issue 3/2022

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.

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Title: Applications of Machine Learning in Cardiology
Authors: Karthik Seetharam
Sudarshan Balla
Christopher Bianco
Jim Cheung
Roman Pachulski
Deepak Asti
Nikil Nalluri
Astha Tejpal
Parvez Mir
Jilan Shah
Premila Bhat
Tanveer Mir
Yasmin Hamirani
Publication date: 12-07-2022
Publisher: Springer Healthcare
Keywords: Artificial Intelligence
Heart Failure
Published in: Cardiology and Therapy / Issue 3/2022
Print ISSN: 2193-8261
Electronic ISSN: 2193-6544
DOI: https://doi.org/10.1007/s40119-022-00273-7

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