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Emerging role of artificial intelligence in cardiac electrophysiology

Authors :
Kabra, Rajesh
Israni, Sharat
Vijay, Bharat
Baru, Chaitanya
Mendu, Raghuveer
Fellman, Mark
Sridhar, Arun
Mason, Pamela
Cheung, Jim W.
DiBiase, Luigi
Mahapatra, Srijoy
Kalifa, Jerome
Lubitz, Steven A.
Noseworthy, Peter A.
Navara, Rachita
McManus, David D.
Cohen, Mitchell
Chung, Mina K.
Trayanova, Natalia
Gopinathannair, Rakesh
Lakkireddy, Dhanunjaya
Source :
Cardiovascular Digital Health Journal; December 2022, Vol. 3 Issue: 6 p263-275, 13p
Publication Year :
2022

Abstract

Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field of AI and ML and their emerging role in EP. The current review is divided into 3 sections. In the first section, we discuss the definitions and basics of AI, ML, and big data. In the second section, we discuss their application to EP in the context of detection, prediction, and management of arrhythmias. Finally, we discuss the regulatory issues, challenges, and future directions of AI in EP.

Details

Language :
English
ISSN :
26666936
Volume :
3
Issue :
6
Database :
Supplemental Index
Journal :
Cardiovascular Digital Health Journal
Publication Type :
Periodical
Accession number :
ejs61442794
Full Text :
https://doi.org/10.1016/j.cvdhj.2022.09.001