Emerging role of artificial intelligence in cardiac electrophysiology

Emerging role of artificial intelligence in cardiac electrophysiology

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 cur...

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Veröffentlicht in:Cardiovascular digital health journal 2022-12, Vol.3 (6), p.263-275
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Big data
Cardiac electrophysiology
Computational modeling
Deep learning
Machine learning
Review
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Zusammenfassung: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.
ISSN:2666-6936
2666-6936
DOI:10.1016/j.cvdhj.2022.09.001