Feasibility of Deep Learning-Based Analysis of Auscultation for Screening Significant Stenosis of Native Arteriovenous Fistula for Hemodialysis Requiring Angioplasty

OBJECTIVE: To investigate the feasibility of using a deep learning-based analysis of auscultation data to predict significant stenosis of arteriovenous fistulas (AVF) in patients undergoing hemodialysis requiring percutaneous transluminal angioplasty (PTA). MATERIALS AND METHODS: Forty patients (24...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Jae Hyon, Park, Insun, Han, Kichang, Yoon, Jongjin, Sim, Yongsik, Kim, Soo Jin, Won, Jong Yun, Lee, Shina, Kwon, Joon Ho, Moon, Sungmo, Kim, Gyoung Min, Kim, Man-deuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Intervention
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523235/
https://www.ncbi.nlm.nih.gov/pubmed/36174999
http://dx.doi.org/10.3348/kjr.2022.0364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523235/
https://www.ncbi.nlm.nih.gov/pubmed/36174999
http://dx.doi.org/10.3348/kjr.2022.0364

Ejemplares similares