Artificial intelligence in pediatric urology
Application of artificial intelligence (AI) is one of the hottest topics in medicine. There is an
abundance of evidence of exponentially increasing urologic publications using AI …
abundance of evidence of exponentially increasing urologic publications using AI …
Artificial intelligence applications in urology: reporting standards to achieve fluency for urologists
Methods A literature search was performed. Articles between 2012 and 2020 using the
search terms “urology”,“artificial intelligence,”“machine learning” were vetted and …
search terms “urology”,“artificial intelligence,”“machine learning” were vetted and …
Machine learning for urodynamic detection of detrusor overactivity
Objective To develop a machine learning algorithm that identifies detrusor overactivity (DO)
in Urodynamic Studies (UDS) in the spina bifida population. UDS plays a key role in …
in Urodynamic Studies (UDS) in the spina bifida population. UDS plays a key role in …
Current developments in artificial intelligence from obstetrics and gynecology to urogynecology
In today's medical practice clinicians need to struggle with a huge amount of data to improve
the outcomes of the patients. Sometimes one clinician needs to deal with thousands of …
the outcomes of the patients. Sometimes one clinician needs to deal with thousands of …
[HTML][HTML] Artificial intelligence tools in pediatric urology: a comprehensive review of recent advances
Artificial intelligence (AI) is providing novel answers to long-standing clinical problems, and
it is quickly changing pediatric urology. This thorough analysis focuses on current …
it is quickly changing pediatric urology. This thorough analysis focuses on current …
Deep learning of videourodynamics to classify bladder dysfunction severity in patients with spina bifida
JK Weaver, M Martin-Olenski, J Logan… - The Journal of …, 2023 - auajournals.org
Purpose: Urologists rely heavily on videourodynamics to identify patients with neurogenic
bladders who are at risk of upper tract injury, but their interpretation has high interobserver …
bladders who are at risk of upper tract injury, but their interpretation has high interobserver …
A pilot study: detrusor overactivity diagnosis method based on deep learning
Q Zhou, Z Chen, B Wu, D Lin, Y Hu, X Zhang, J Liu - Urology, 2023 - Elsevier
Objective To develop two intelligent diagnosis models of detrusor overactivity (DO) based on
deep learning to assist doctors no longer heavily rely on visual observation of urodynamic …
deep learning to assist doctors no longer heavily rely on visual observation of urodynamic …
Translating pediatric urodynamics from clinic into collaborative research: lessons and recommendations from the UMPIRE study group
EB Yerkes, EY Cheng, JS Wiener, JC Austin… - Journal of Pediatric …, 2021 - Elsevier
Pediatric patients present unique challenges in the performance and interpretation of
urodynamic studies. Interpretation of urodynamics to guide clinical management at an …
urodynamic studies. Interpretation of urodynamics to guide clinical management at an …
Why are pediatric urologists unable to predict renal deterioration using urodynamics? A focused narrative review of the shortcomings of the literature
In this focused narrative review we set out to review the current literature addressing the
utilization of UDS in patients with spina bifida (SB). We specifically analyzed 6 urodynamic …
utilization of UDS in patients with spina bifida (SB). We specifically analyzed 6 urodynamic …
AI-PEDURO–Artificial intelligence in pediatric urology: protocol for a living scoping review and online repository
Background Artificial intelligence (AI) and machine learning (ML) methods are increasingly
being applied in pediatric urology across a growing number of settings, with more extensive …
being applied in pediatric urology across a growing number of settings, with more extensive …