Latest AI and machine learning research in urology for healthcare professionals.
Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis...
Applications of deep learning and other artificial intelligence techniques play an increasing role i...
Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a ...
BACKGROUND: Studies examining associations between metabolic acidosis and cardiovascular events in c...
BACKGROUND: Depressive symptoms are associated with adverse clinical outcomes in patients with end-s...
BACKGROUND: Timely diagnosis and treatment of stage 3 chronic kidney disease (CKD) can prevent furth...
PURPOSE OF REVIEW: Robot-assisted kidney transplantation (RAKT) has the potential to combine the adv...
This study provides an in-depth study and analysis of English course recommendation techniques throu...
Detecting the presence of prostate cancer (PCa) and distinguishing low- or intermediate-risk disease...
BACKGROUND: Supervised classification methods have been used for many years for feature selection in...
To compare open and robotic approach for treatment of Primary Obstructive Megaureter (POM) in a ser...
Due to the influence of kidney morphology, heterogeneous structure and image quality, segmenting kid...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 ...
The revolution in our ability to recognize the alterations in fundamental biology brought about by d...
RATIONALE & OBJECTIVE: Potential surrogate end points for kidney failure have been proposed in chron...
Classically described in renal allografts, BK virus nephropathy is increasingly recognized in native...
A growing amount of evidence suggests that long non-coding RNAs (lncRNAs) play important roles in th...
BACKGROUND: Early diagnosis and treatment of prostate cancer (PCa) can be curative; however, prostat...
INTRODUCTION: Use of kidney replacement therapy (KRT) prediction models for guiding arteriovenous fi...