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 …

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 …

Objective To sensitively predict the risk of renal obstruction on diuretic renography using
routine reported ultrasonography (US) findings, coupled with machine learning approaches …

The application of bioinformatics has revolutionized the practice of medicine in the past 20
years. From early studies that uncovered subtypes of cancer to broad efforts spearheaded …

Objective This study was conducted to explore the risk factors for the prognosis and
recurrence of ureteropelvic junction obstruction (UPJO). Methods The correlation of these …

Background Artificial intelligence (AI) has emerged as a promising avenue for improving
patient care and surgical outcomes in urological surgery. However, the extent of AI's impact …

Objective Lower urinary tract obstruction (LUTO) is a chronic condition with a spectrum of
outcomes. It is usually suspected prenatally based on ultrasound features (USFs). Given the …

Review Context and Objective Artificial intelligence (AI) and machine learning (ML) offer
new tools to advance care in pediatric urology. While there has been interest in developing …

Purpose: To describe long-term outcomes, including urinary tract infections (UTIs) and need
for reimplantation, after ureterovesicostomy (UV) as a lasting surgical procedure for children …

Abstract Purpose of Review Pediatric urology has been a hub for developing clinically
relevant artificial intelligence (AI) models. We provide an overview of existing and novel …