Advances in atrial fibrillation prediction and management using artificial intelligence:current status and future perspectives
10.3969/j.issn.1004-8812.2025.06.008
- VernacularTitle:人工智能在心房颤动预测及管理中的进展:现状与未来
- Author:
Ke-xin WANG
1
;
Ming-long CHEN
1
Author Information
1. 南京医科大学第一附属医院心血管内科,江苏南京 210029
- Publication Type:Journal Article
- Keywords:
Atrial fibrillation;
Artificial intelligence;
Prediction;
Arrhythmia;
Clinical application
- From:
Chinese Journal of Interventional Cardiology
2025;33(6):345-352
- CountryChina
- Language:Chinese
-
Abstract:
Atrial fibrillation(AF)is the most common arrhythmia in clinical practice,with over 37 million people affected worldwide.AF may have great impacts on patients'cardiac function,cognitive function,quality of life,increase the risk of stroke,and raise the cardiovascular mortality.Therefore,early prediction of AF is crucial for reducing the risk of AF-related complications,early intervention,and improving patient prognosis.With the rapid development of artificial intelligence(AI)technology,its application in the medical field,especially in cardiology,has increasingly attracted great attention.In recent years,numerous studies have utilized various AI tools to analyze vast amounts of medical data,including clinical information and imaging parameters,trying to predict the occurrence,progression,and complications of AF,thereby providing a basis for clinical decision-making.However,despite certain progress,current research still faces multiple challenges,such as data privacy,model interpretability,the accuracy and rationality of parameter selection,and the clinical operability and feasibility of data implementation.Therefore,we aim to review the latest researches of AI in AF prediction,analyze the current application status,and discuss the future development,in order to provide references and insights for further research in related fields.
