Deep Learning of Videourodynamics to Classify Bladder Dysfunction Severity in Patients With Spina Bifida
Authors:
- 1 May 2023
- journal article
- research article
- Published by Wolters Kluwer Health in Journal of Urology
- Vol. 209 (5) , 994-1003
Abstract
Purpose:Urologists rely heavily on videourodynamics (VUDS) to identify patients with neurogenic bladders who are at risk of upper tract injury, but their interpretation has high interobserver varia...Keywords
This publication has 22 references indexed in Scilit:
- Why are pediatric urologists unable to predict renal deterioration using urodynamics? A focused narrative review of the shortcomings of the literatureJournal of Pediatric Urology, 2022
- Clinical outcomes after increasing bladder outlet resistance without augmentation cystoplasty in neurogenic bladderJournal of Pediatric Urology, 2021
- Pattern recognition algorithm to identify detrusor overactivity on urodynamicsNeurourology and Urodynamics, 2020
- Value of urodynamic findings in predicting upper urinary tract damage in neuro‐urological patients: A systematic reviewNeurourology and Urodynamics, 2018
- Interrater Reliability in Pediatric Urodynamic Tracings: A Pilot StudyJournal of Urology, 2017
- DeepCare: A Deep Dynamic Memory Model for Predictive Medicine2016
- Long-Term Outcomes of Bladder Neck Reconstruction without Augmentation Cystoplasty in ChildrenJournal of Urology, 2016
- Long-term fate of the bladder after isolated bladder neck procedureJournal of Pediatric Urology, 2014
- Early clean intermittent catheterization may not prevent dimercaptosuccinic acid renal scan abnormalities in children with spinal dysraphismJournal of Pediatric Urology, 2014
- Is Long-Term Bladder Deterioration Inevitable Following Successful Isolated Bladder Outlet Procedures in Children With Neuropathic Bladder Dysfunction?Journal of Urology, 2008