Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation

Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation

Atrial fibrillation (AF) is the most common cardiac arrhythmia and currently affects more than 650,000 people in the United Kingdom alone. Catheter ablation (CA) is the only AF treatment with a long-term curative effect as it involves destroying arrhythmogenic tissue in the atria. However, its succe...

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Bibliographic Details
Main Authors: Laila Muizniece, Adrian Bertagnoli, Ahmed Qureshi, Aya Zeidan, Aditi Roy, Marica Muffoletto, Oleg Aslanidi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
catheter ablation
patient imaging
reinforcement learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.733139/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2021.733139/full

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