A deep learning model to predict recurrence of atrial fibrillation after pulmonary vein isolation

A deep learning model to predict recurrence of atrial fibrillation after pulmonary vein isolation

Abstract Background and Objectives The efficacy of radiofrequency catheter ablation (RFCA) in atrial fibrillation (AF) is well established. The standard approach to RFCA in AF is pulmonary vein isolation (PVI). However, a large proportion of patients experiences recurrence of atrial tachyarrhythmia....

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Bibliographic Details
Main Authors: Ju Youn Kim, Younghoon Kim, Gil-Hwan Oh, Sun Hwa Kim, Young Choi, Youmi Hwang, Tae-Seok Kim, Sung-Hwan Kim, Ji-Hoon Kim, Sung-Won Jang, Yong-Seog Oh, Man Young Lee
Format: Article
Language:English
Published: BMC 2020-11-01
Series:International Journal of Arrhythmia
Subjects:
Left atrium
Atrial fibrillation
Pulmonary vein isolation
Catheter ablation
Online Access:http://link.springer.com/article/10.1186/s42444-020-00027-3

Internet

http://link.springer.com/article/10.1186/s42444-020-00027-3

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