Emerging role of artificial intelligence in cardiac electrophysiology

IF 2.6 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Cardiovascular digital health journal Pub Date : 2022-12-01 DOI:10.1016/j.cvdhj.2022.09.001

Rajesh Kabra MD, FHRS , Sharat Israni PhD , Bharat Vijay MS , Chaitanya Baru PhD , Raghuveer Mendu BTech , Mark Fellman BS , Arun Sridhar MD, FHRS , Pamela Mason MD, FHRS , Jim W. Cheung MD, FHRS , Luigi DiBiase MD, PhD, FHRS , Srijoy Mahapatra MD, FHRS , Jerome Kalifa MD, PhD , Steven A. Lubitz MD , Peter A. Noseworthy MD, FHRS , Rachita Navara MD , David D. McManus MD, FHRS , Mitchell Cohen MD , Mina K. Chung MD, FHRS , Natalia Trayanova PhD, FHRS , Rakesh Gopinathannair MD, FHRS , Dhanunjaya Lakkireddy MD, FHRS

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引用次数: 6

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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人工智能在心脏电生理中的新作用

人工智能(AI)和机器学习(ML)在多个方面对心血管医学领域，特别是心脏电生理学(EP)产生了重大影响。这篇综述的目的是让读者熟悉人工智能和机器学习领域及其在EP中的新兴作用。目前的审查分为三个部分。在第一部分中，我们将讨论AI、ML和大数据的定义和基础知识。在第二部分，我们将讨论它们在心律失常的检测、预测和管理中的应用。最后，我们讨论了人工智能在EP中的监管问题、挑战和未来方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cardiovascular digital health journal Cardiology and Cardiovascular Medicine

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

58 days