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

Background: 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 electrocardiography (EC...

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Detalles Bibliográficos
Autores principales: Jiang, Junrong, Deng, Hai, Liao, Hongtao, Fang, Xianhong, Zhan, Xianzhang, Wei, Wei, Wu, Shulin, Xue, Yumei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003633/
https://www.ncbi.nlm.nih.gov/pubmed/36902719
http://dx.doi.org/10.3390/jcm12051933

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003633/
https://www.ncbi.nlm.nih.gov/pubmed/36902719
http://dx.doi.org/10.3390/jcm12051933

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