Cargando…
Artificial intelligence for the detection, prediction, and management of atrial fibrillation
The present article reviews the state of the art of machine learning algorithms for the detection, prediction, and management of atrial fibrillation (AF), as well as of the development and evaluation of artificial intelligence (AI) in cardiology and beyond. Today, AI detects AF with a high accuracy...
Autores principales: | Isaksen, Jonas L., Baumert, Mathias, Hermans, Astrid N. L., Maleckar, Molly, Linz, Dominik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Medizin
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853037/ https://www.ncbi.nlm.nih.gov/pubmed/35147766 http://dx.doi.org/10.1007/s00399-022-00839-x |
Ejemplares similares
-
New concepts in atrial fibrillation pathophysiology
por: Hermans, Ben J. M., et al.
Publicado: (2022) -
Opportunities and challenges of large-scale screening for atrial fibrillation
por: Zink, Matthias Daniel, et al.
Publicado: (2018) -
Twitter in der Kardiologie: Praktische Anleitung für den professionellen Gebrauch
por: Linz, Dominik, et al.
Publicado: (2020) -
IT-Führungsrollen des Top-Management-Teams im öffentlichen Sektor
por: Paech, Andreas, et al.
Publicado: (2022) -
Personalized management of sleep apnea in patients with atrial fibrillation: An interdisciplinary and translational challenge
por: Linz, Dominik, et al.
Publicado: (2021)