Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation

Background: Radiofrequency catheter ablation (RFCA) therapy is the first-line treatment for atrial fibrillation (AF), the most common type of cardiac arrhythmia globally. However, the procedure currently has low success rates in dealing with persistent AF, with a reoccurrence rate of ∼50% post-ablat...

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Detalles Bibliográficos
Autores principales: Ogbomo-Harmitt, Shaheim, Muffoletto, Marica, Zeidan, Aya, Qureshi, Ahmed, King, Andrew P., Aslanidi, Oleg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043207/
https://www.ncbi.nlm.nih.gov/pubmed/36998987
http://dx.doi.org/10.3389/fphys.2023.1054401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043207/
https://www.ncbi.nlm.nih.gov/pubmed/36998987
http://dx.doi.org/10.3389/fphys.2023.1054401

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