Artificial intelligence—electrocardiography to detect atrial fibrillation: trend of probability before and after the first episode

AIMS: Artificial intelligence (AI) enabled electrocardiography (ECG) can detect latent atrial fibrillation (AF) in patients with sinus rhythm (SR). However, the change of AI-ECG probability before and after the first AF episode is not well characterized. We sought to characterize the temporal trend...

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Detalles Bibliográficos
Autores principales: Christopoulos, Georgios, Attia, Zachi I, Van Houten, Holly K, Yao, Xiaoxi, Carter, Rickey E, Lopez-Jimenez, Francisco, Kapa, Suraj, Noseworthy, Peter A, Friedman, Paul A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707931/
https://www.ncbi.nlm.nih.gov/pubmed/36713006
http://dx.doi.org/10.1093/ehjdh/ztac023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707931/
https://www.ncbi.nlm.nih.gov/pubmed/36713006
http://dx.doi.org/10.1093/ehjdh/ztac023

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