Using machine learning to enhance prediction of atrial fibrillation recurrence after catheter ablation

Using machine learning to enhance prediction of atrial fibrillation recurrence after catheter ablation

Abstract Background Traditional risk scores for recurrent atrial fibrillation (AF) following catheter ablation utilize readily available clinical and echocardiographic variables and yet have limited discriminatory capacity. Use of data from cardiac imaging and deep learning may help improve accuracy...

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Bibliographic Details
Main Authors: Mark S. Brahier, Fengwei Zou, Musa Abdulkareem, Shwetha Kochi, Frank Migliarese, Athanasios Thomaides, Xiaoyang Ma, Colin Wu, Veit Sandfort, Peter J. Bergquist, Monvadi B. Srichai, Jonathan P. Piccini, Steffen E. Petersen, Jose D. Vargas
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Journal of Arrhythmia
Subjects:
atrial fibrillation
cardiac computed tomography
catheter ablation
left atrium
machine learning
Online Access:https://doi.org/10.1002/joa3.12927

Internet

https://doi.org/10.1002/joa3.12927

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