Artificial intelligence–enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation

BACKGROUND: Paroxysmal atrial fibrillation (AF) often eludes early diagnosis, resulting in significant morbidity and mortality. Artificial intelligence (AI) has been used to predict AF from sinus rhythm electrocardiograms (ECGs), but AF prediction using sinus rhythm mobile electrocardiograms (mECG)...

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Detalles Bibliográficos
Autores principales: Raghunath, Ananditha, Nguyen, Dan D., Schram, Matthew, Albert, David, Gollakota, Shyamnath, Shapiro, Linda, Sridhar, Arun R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971999/
https://www.ncbi.nlm.nih.gov/pubmed/36865584
http://dx.doi.org/10.1016/j.cvdhj.2023.01.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971999/
https://www.ncbi.nlm.nih.gov/pubmed/36865584
http://dx.doi.org/10.1016/j.cvdhj.2023.01.002

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