Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study

Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study

IntroductionAtrial fibrillation (AF) is the most common arrhythmia, contributing significantly to morbidity and mortality. In a previous study, we developed a deep neural network for predicting paroxysmal atrial fibrillation (PAF) during sinus rhythm (SR) using digital data from standard 12-lead ele...

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Bibliographic Details
Main Authors: Yong-Soo Baek, Soonil Kwon, Seng Chan You, Kwang-No Lee, Hee Tae Yu, So-Ryung Lee, Seung-Young Roh, Dong-Hyeok Kim, Seung Yong Shin, Dae In Lee, Junbeom Park, Yae Min Park, Young Ju Suh, Eue-Keun Choi, Sang-Chul Lee, Boyoung Joung, Wonik Choi, Dae-Hyeok Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
atrial fibrillation
electrocardiography
artificial intelligence
deep learning
neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1258167/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2023.1258167/full

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