Predicting radiocephalic arteriovenous fistula success with machine learning

After creation of a new arteriovenous fistula (AVF), assessment of readiness for use is an important clinical task. Accurate prediction of successful use is challenging, and augmentation of the physical exam with ultrasound has become routine. Herein, we propose a point-of-care tool based on machine...

Descripción completa

Detalles Bibliográficos
Autores principales: Heindel, Patrick, Dey, Tanujit, Feliz, Jessica D., Hentschel, Dirk M., Bhatt, Deepak L., Al-Omran, Mohammed, Belkin, Michael, Ozaki, C. Keith, Hussain, Mohamad A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592575/
https://www.ncbi.nlm.nih.gov/pubmed/36280681
http://dx.doi.org/10.1038/s41746-022-00710-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592575/
https://www.ncbi.nlm.nih.gov/pubmed/36280681
http://dx.doi.org/10.1038/s41746-022-00710-w

Ejemplares similares