Version 1
: Received: 3 November 2023 / Approved: 7 November 2023 / Online: 7 November 2023 (03:40:07 CET)
How to cite:
Fahimi, B.; Beikmohammadi, S. Role of Artificial Intelligence in Atrial Fibrillation Management: A Comprehensive Review. Preprints2023, 2023110393. https://doi.org/10.20944/preprints202311.0393.v1
Fahimi, B.; Beikmohammadi, S. Role of Artificial Intelligence in Atrial Fibrillation Management: A Comprehensive Review. Preprints 2023, 2023110393. https://doi.org/10.20944/preprints202311.0393.v1
Fahimi, B.; Beikmohammadi, S. Role of Artificial Intelligence in Atrial Fibrillation Management: A Comprehensive Review. Preprints2023, 2023110393. https://doi.org/10.20944/preprints202311.0393.v1
APA Style
Fahimi, B., & Beikmohammadi, S. (2023). Role of Artificial Intelligence in Atrial Fibrillation Management: A Comprehensive Review. Preprints. https://doi.org/10.20944/preprints202311.0393.v1
Chicago/Turabian Style
Fahimi, B. and Somayeh Beikmohammadi. 2023 "Role of Artificial Intelligence in Atrial Fibrillation Management: A Comprehensive Review" Preprints. https://doi.org/10.20944/preprints202311.0393.v1
Abstract
Atrial fibrillation (AF) is the most common cardiac arrhythmia encountered in clinical practice, affecting millions of individuals worldwide. The management of AF presents significant challenges due to its complex nature and diverse patient profiles. In recent years, the integration of artificial intelligence (AI) and machine learning technologies has emerged as a promising approach to enhance various aspects of AF management. This comprehensive review aims to explore the evolving role of AI in AF management, with a focus on its potential applications in diagnosis, risk prediction, treatment selection, and patient monitoring. Real academic references were employed to provide evidence-based insights into the impact of AI on AF management.
Keywords
Atrial Fibrillation (AF); Artificial Intelligence (AI); machine learning; AF Management; diagnosis and treatment prediction
Subject
Medicine and Pharmacology, Cardiac and Cardiovascular Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
