An Artificial Intelligence-Enabled ECG Algorithm for Predicting the Risk of Recurrence in Patients with Paroxysmal Atrial Fibrillation after Catheter Ablation

An Artificial Intelligence-Enabled ECG Algorithm for Predicting the Risk of Recurrence in Patients with Paroxysmal Atrial Fibrillation after Catheter Ablation

<b>Background:</b> Catheter ablation (CA) is an important treatment strategy to reduce the burden and complications of atrial fibrillation (AF). This study aims to predict the risk of recurrence in patients with paroxysmal AF (pAF) after CA by an artificial intelligence (AI)-enabled elec...

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Bibliographic Details
Main Authors: Junrong Jiang, Hai Deng, Hongtao Liao, Xianhong Fang, Xianzhang Zhan, Wei Wei, Shulin Wu, Yumei Xue
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
atrial fibrillation
catheter ablation
recurrence
Online Access:https://www.mdpi.com/2077-0383/12/5/1933

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