Applications of Machine Learning in Cardiology. Review uri icon

Overview

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.

publication date

  • July 12, 2022

Identity

PubMed Central ID

  • PMC9381660

Scopus Document Identifier

  • 85134304325

Digital Object Identifier (DOI)

  • 10.1016/j.jcmg.2019.02.028

PubMed ID

  • 35829916

Additional Document Info

volume

  • 11

issue

  • 3