Clinical applicability of an artificial intelligence prediction algorithm for early prediction of non-persistent atrial fibrillation

BACKGROUND AND AIMS: It is difficult to document atrial fibrillation (AF) on ECG in patients with non-persistent atrial fibrillation (non-PeAF). There is limited understanding of whether an AI prediction algorithm could predict the occurrence of non-PeAF from the information of normal sinus rhythm (...

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Detalles Bibliográficos
Autores principales: Kim, Yeji, Joo, Gihun, Jeon, Bo-Kyung, Kim, Dong-Hyeok, Shin, Tae Young, Im, Hyeonseung, Park, Junbeom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534067/
https://www.ncbi.nlm.nih.gov/pubmed/37781313
http://dx.doi.org/10.3389/fcvm.2023.1168054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534067/
https://www.ncbi.nlm.nih.gov/pubmed/37781313
http://dx.doi.org/10.3389/fcvm.2023.1168054

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