Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning

Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning

Atrial fibrillation (AF) is a common cardiac arrhythmia that affects 1% of the population worldwide and is associated with high levels of morbidity and mortality. Catheter ablation (CA) has become one of the first line treatments for AF, but its success rates are suboptimal, especially in the case o...

Full description

Bibliographic Details
Main Authors: Marica Muffoletto, Ahmed Qureshi, Aya Zeidan, Laila Muizniece, Xiao Fu, Jichao Zhao, Aditi Roy, Paul A. Bates, Oleg Aslanidi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
patient imaging
catheter ablation
computational modelling
deep learning
classification algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.674106/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2021.674106/full

Similar Items