Predictive value of artificial intelligence and radiomics for atrial fibrillation recurrence after catheter ablation for pulmonary vein isolation

This study presents a non-invasive model for predicting post-PVI recurrence and quantifies the contribution of specific cardiac structures to AF recurrence risk.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251393276
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictive value of artificial intelligence and radiomics for atrial fibrillation recurrence after catheter ablation for pulmonary vein isolation

Guoxiang Ma, Baopeng Tang, Shuai Shang, Suixia Zhang et al.
Digital Health
Atrial Fibrillation Management and Outcomes
article

Predictive value of artificial intelligence and radiomics for atrial fibrillation recurrence after catheter ablation for pulmonary vein isolation

Guoxiang Ma, Baopeng Tang, Shuai Shang, Suixia Zhang, Yanmei Lu, Hui Liu, Kai Wang, H. X. Li
article en

Abstract

This study presents a non-invasive model for predicting post-PVI recurrence and quantifies the contribution of specific cardiac structures to AF recurrence risk.

Digital HealthVol. 11
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN)
Openalex Percentile: Top 52%
Atrial Fibrillation Management and Outcomes
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