Artificial intelligence in atrial fibrillation: emerging applications, research directions and ethical considerations

Artificial intelligence in atrial fibrillation: emerging applications, research directions and ethical considerations

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia and a major contributor to stroke and heart failure. Despite progress in management, challenges persist in early detection, risk stratification, and personalised treatment. Artificial intelligence (AI), especially machine learning (...

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Bibliographic Details
Main Authors: Ibrahim Antoun, Ahmed Abdelrazik, Mahmoud Eldesouky, Xin Li, Georgia R. Layton, Mustafa Zakkar, Riyaz Somani, G. André Ng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
atrial fibrillation
artificial intelligence
machine learning
ECG
risk stratification
remote monitoring
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1596574/full
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