Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Artificial urinary sphincter (AUS) implantation is recommended for women suffering urina...
OBJECTIVE: This study intends to develop a two-stage fuzzy neural network (FNN) for prognoses of pro...
OBJECTIVES: To assess the clinical performance of robotic-assisted infra-renal aortic lymphadenectom...
Here, we report the case of a 26-year-old woman suffering from nutcracker syndrome with concurrent d...
Particle size soft sensing in cement mills will be largely helpful in maintaining desired cement fin...
OBJECTIVE: To investigate the clinical characteristics and treatment patterns for African-American (...
INTRODUCTION: We analyzed the trends of positive surgical margin (PSM) location in patients who had ...
OBJECTIVE: The aim of the present study is to elucidate factors contributing to early recovery of ur...
INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with local...
The indication for use of laparoscopy, in the pediatric population, was initially for diagnostic pur...
Shape based active contours have emerged as a natural solution to overlap resolution. However, most ...
OBJECTIVES: To examine biochemical recurrence after robot-assisted radical prostatectomy in Japanese...
STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' muscu...
BACKGROUND: Robot-assisted laparoscopic radical prostatectomy has become a widespread technique desp...
PURPOSE: To demonstrate the utility of a robotic needle-guidance template device as compared to a ma...