Latest AI and machine learning research in urology for healthcare professionals.
The use of artificial intelligence (AI) in urology can contribute to a significant improvement with ...
Currently, the active surveillance of men with favorable intermediate-risk localized prostate cancer...
With the effect of global warming, the frequency of floods, one of the most important natural disast...
Robotic locomotion in subterranean environments is still unsolved, and it requires innovative design...
INTRODUCTION: We aimed to compare short term outcomes after robot assisted radical cystectomy (RARC)...
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of rob...
PURPOSE: Metastatic bone disease (MBD) is the most common form of metastases, most frequently derivi...
RAPN training usually takes place in-vivo and methods vary across countries/institutions. No common ...
BACKGROUND: Accurate pathological diagnosis of invasion depth and histologic grade is key for clinic...
Clinical data on robot-assisted radical prostatectomy (RARP) performed with the new Hugo robot-assis...
OBJECTIVES: To determine whether bSSFP images are useful for visualizing prostatic lesionsin MRI-gui...
OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for...
BACKGROUND: Demand for prostate MRI is increasing, but scan times remain long even in abbreviated bi...
BACKGROUND: To develop and test a Prostate Imaging Stratification Risk (PRISK) tool for precisely as...
BACKGROUND: Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate can...
BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surge...
Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has emerged as a surgical option for ...