An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm

BACKGROUND: Subclinical atrial fibrillation (AF) is one of the pathogeneses of embolic stroke. Detection of occult AF and providing proper anticoagulant treatment is an important way to prevent stroke recurrence. The purpose of this study was to determine whether an artificial intelligence (AI) mode...

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Detalles Bibliográficos
Autores principales: Kim, Ju Youn, Kim, Kyung Geun, Tae, Yunwon, Chang, Mineok, Park, Seung-Jung, Park, Kyoung-Min, On, Young Keun, Kim, June Soo, Lee, Yeha, Jang, Sung-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299422/
https://www.ncbi.nlm.nih.gov/pubmed/35872911
http://dx.doi.org/10.3389/fcvm.2022.906780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299422/
https://www.ncbi.nlm.nih.gov/pubmed/35872911
http://dx.doi.org/10.3389/fcvm.2022.906780

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