Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND AND OBJECTIVE: Image-guided clinical diagnosis can be achieved by automatically and accur...
To compare the safety and effectiveness of robot-assisted partial nephrectomy (RAPN) laparoscopic ...
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children...
Fibroblast growth factor receptors (FGFRs) are a family of cell surface receptors that bind to fibro...
BACKGROUND: The tumor microenvironment (TME) performs a crucial function in the tumorigenesis and re...
. UNet-based deep-learning (DL) architectures are promising dose engines for traditional linear acce...
Deep convolutional neural networks (DCNNs) have shown remarkable performance in medical image segmen...
BACKGROUND AND AIM: The purpose of this study was to evaluate clinical experiences and cost-effectiv...
To describe the technical evolution and perioperative outcomes of vesicourethral anastomosis (VUA) ...
BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that re...
This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scan...
Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has ...
Accurate tumor detection is critical in cystoscopy to improve bladder cancer resection and decrease ...
PURPOSE: Even though there isn't enough clinical evidence to demonstrate that robot-assisted radical...
Machine learning applied to digital pathology has been increasingly used to assess kidney function a...
OBJECTIVES: To compare University of Southern California (USC) Institute of Urology pentafecta and t...
The current study presents a steadfast, simple, and efficient approach for the non-invasive determin...
Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease ...
Longevity with localized prostate cancer (PCa) has been achieved, and the contribution of robot-assi...