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

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 and pre...

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Detalles Bibliográficos
Autores principales: Brahier, Mark S., Zou, Fengwei, Abdulkareem, Musa, Kochi, Shwetha, Migliarese, Frank, Thomaides, Athanasios, Ma, Xiaoyang, Wu, Colin, Sandfort, Veit, Bergquist, Peter J., Srichai, Monvadi B., Piccini, Jonathan P., Petersen, Steffen E., Vargas, Jose D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692862/
https://www.ncbi.nlm.nih.gov/pubmed/38045451
http://dx.doi.org/10.1002/joa3.12927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692862/
https://www.ncbi.nlm.nih.gov/pubmed/38045451
http://dx.doi.org/10.1002/joa3.12927

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