Emerging role of artificial intelligence in cardiac electrophysiology

Autor:	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
Rok vydání:	2023
Předmět:	Biomedical Engineering Cardiology and Cardiovascular Medicine Critical Care and Intensive Care Medicine
Zdroj:	Cardiovascular digital health journal. 3(6)
ISSN:	2666-6936
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b6791c1612fa860b4296a4992801762 https://pubmed.ncbi.nlm.nih.gov/36589314 Zobrazit plný text záznamu