Emerging Role of Artificial Intelligence in Cardiac Electrophysiology

Overview

Journal Cardiovasc Digit Health J

Specialty Cardiology & Vascular Diseases

Date 2023 Jan 2

PMID 36589314

Authors

Rajesh Kabra

Sharat Israni

Bharat Vijay

Chaitanya Baru

Raghuveer Mendu

Mark Fellman

Arun Sridhar

Pamela Mason

Jim W Cheung

Luigi DiBiase

Srijoy Mahapatra

Jerome Kalifa

Steven A Lubitz

Peter A Noseworthy

Rachita Navara

David D McManus

Mitchell Cohen

Mina K Chung

Natalia Trayanova

Rakesh Gopinathannair

Dhanunjaya Lakkireddy

Affiliations

Soon will be listed here.

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.

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