Latest AI and machine learning research in urology for healthcare professionals.
To compare short-term functional and surgical outcomes of robot-assisted partial nephrectomy (RAPN) ...
Augmented reality robot-assisted partial nephrectomy (AR-RAPN) is limited by the need of a constant ...
Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most expensive malig...
BACKGROUND AND OBJECTIVE: Prostate cancer (PCa) is a severe public health issue and the most common ...
BACKGROUND: Advanced stages of different renal diseases feature glomerular sclerosis at a histologic...
BACKGROUND: Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are es...
INTRODUCTION: While various surgical techniques have been reported for open and minimally invasive t...
The complexity of generating radiotherapy treatments demands a rigorous quality assurance (QA) proce...
Accurate prostate cancer screening is imperative for reducing the risk of cancer death. Ultrasound i...
BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affect...
BACKGROUND: Kidney transplantation is the best treatment for people with End-Stage Renal Disease (ES...
Artificial intelligence (AI), including deep learning methods that leverage neural network-based alg...
Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a signif...
To determine safety and feasibility of single-port Retzius-sparing robot-assisted radical prostatec...
dHACM is a source of factors including cytokines that allow anti-inflammatory and proliferative elem...
OBJECTIVE: To train and to test for prostate zonal segmentation an existing algorithm already traine...
BACKGROUND: Lipid metabolism disorder, as one major complication in patients with chronic kidney dis...
PURPOSE: There is currently no consensus regarding the optimal treatment strategy for patients prese...
The research is aimed at investigating computed tomography (CT) image based on deep learning algorit...
The quantity of data required to give a valid analysis grows exponentially as machine learning dimen...
BACKGROUND: To evaluate long-term oncological and renal function outcomes in patients treated with r...