Latest AI and machine learning research in urology for healthcare professionals.
OBJECTIVE: To report perioperative and postoperative outcomes in men who undergo salvage RASP (sRASP...
To test the safety and feasibility of laser lithotripsy for midsize renal stones using a newly deve...
For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are...
: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobi...
Opioid dependency has been a persistent issue in the United States over the past two decades. Incre...
To assess the performance and added value of processing complete digital endoscopic video sequences ...
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by resi...
Sodium-glucose cotransporter 2 (SGLT2), also known as solute carrier family 5 member 2 (SLC5A2), is...
INTRODUCTION: Although rare, as the population ages, abdominal aortic aneurysm synchronous to abdomi...
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer wit...
PURPOSE OF REVIEW: Risk stratification for chronic kidney is becoming increasingly important as a cl...
Stone artifacts are often the most abundant class of objects found in archaeological sites but their...
PURPOSE: This study aimed to compare the long-term oncological outcomes of robot-assisted radical pr...
OBJECTIVES: To compare surgical and functional outcomes between robot-assisted laparoscopic partial ...
In preclinical radiotherapy with kilovolt (kV) x-ray beams, accurate treatment planning is needed to...
We aim to review the available literature on patients with esophageal cancer treated with robot-assi...
PURPOSE: Prostate biparametric magnetic resonance imaging (bpMRI) including T2-weighted imaging (T2W...
BACKGROUND: Kidney disease progression rates vary among patients. Rapid and accurate prediction of k...