Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm

BACKGROUND: The identification of latent atrial fibrillation (AF) in patients with ischemic stroke (IS) attributed to noncardioembolic etiology may have therapeutic implications. An artificial intelligence (AI) model identifying the electrocardiographic signature of AF present during normal sinus rh...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Changho, Kwon, Oyeon, Chang, Mineok, Joo, Sunghoon, Lee, Yeha, Lee, Jin Soo, Hong, Ji Man, Lee, Seong-Joon, Yoon, Dukyong
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/PMC9024295/
https://www.ncbi.nlm.nih.gov/pubmed/35463788
http://dx.doi.org/10.3389/fcvm.2022.865852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024295/
https://www.ncbi.nlm.nih.gov/pubmed/35463788
http://dx.doi.org/10.3389/fcvm.2022.865852

Ejemplares similares