Artificial intelligence in pediatric urology

HHS Wang, R Vasdev, CP Nelson - Urologic Clinics, 2024 - urologic.theclinics.com
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 …

Explainable artificial intelligence for medical applications: A review

Q Sun, A Akman, BW Schuller - ACM Transactions on Computing for …, 2024 - dl.acm.org
The continuous development of artificial intelligence (AI) theory has propelled this field to
unprecedented heights, owing to the relentless efforts of scholars and researchers. In the …

Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment.

M Alqaraleh, MS Alzboon… - … Journal of Online & …, 2024 - search.ebscohost.com
In this study, we evaluated the performance of various machine-learning models on multiple
datasets labeled GR1, GR2, GR3, GR4, and GR5. We assessed the models using a range of …

[HTML][HTML] Artificial intelligence tools in pediatric urology: a comprehensive review of recent advances

AT Chowdhury, A Salam, M Naznine, D Abdalla… - Diagnostics, 2024 - mdpi.com
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 …

Multi-institutional validation of improved vesicoureteral reflux assessment with simple and machine learning approaches

A Khondker, JCC Kwong, P Yadav, JYH Chan… - The Journal of …, 2022 - auajournals.org
Purpose: Vesicoureteral reflux grading from voiding cystourethrograms is highly subjective
with low reliability. We aimed to demonstrate improved reliability for vesicoureteral reflux …

Artificial intelligence in hypospadiology: role, applications, and benefits

M AbdulMoniem, T Abbas, A Khandakar… - … Current Challenges and …, 2023 - Springer
Hypospadias is a complex multifactorial disorder that is impacted by both environmental and
genetic variables, with varying degrees of severity and significant long-term functional …

Recognition of postoperative cystography features by artificial intelligence to predict recovery from postprostatectomy urinary incontinence: a rapid and easy way to …

IH Shao, HC Kan, HY Chen, YH Chang… - Journal of Personalized …, 2023 - mdpi.com
Purpose: Post-operative cystography has been used to predict the recovery of
postprostatectomy urinary incontinence (PPI) in patients with localized prostate cancer. This …

[HTML][HTML] Recent Applications of Explainable AI (XAI): A Systematic Literature Review

M Saarela, V Podgorelec - Applied Sciences, 2024 - mdpi.com
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

Predicting the future of patients with obstructive uropathy—a comprehensive review

J Richter, M Rickard, JK Kim, L Erdman… - Current Pediatrics …, 2022 - Springer
Abstract Purpose of Review This educational review aims to describe available tools that
can be utilized for outcome prediction for children with obstructive uropathy. Recent Findings …

[HTML][HTML] Development and multi-institutional validation of a deep learning model for grading of vesicoureteral reflux on voiding cystourethrogram: a retrospective …

Z Li, Z Tan, Z Wang, W Tang, X Ren, J Fu, G Wang… - …, 2024 - thelancet.com
Background Voiding cystourethrography (VCUG) is the gold standard for the diagnosis and
grading of vesicoureteral reflux (VUR). However, VUR grading from voiding …