Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: The first aim was to generate and compare synthetic-CT (sCT) images using a conditional gen...
The aim of the study is to compare the results of early urinary continence (UC), pathological resul...
An 85-year-old woman presented with a stomachache after a meal and was admitted to the previous clin...
PURPOSE: Robot-assisted simple prostatectomy (RASP) for benign prostatic hyperplasia (BPH) is a rece...
OBJECTIVE: To investigate the effectiveness and safety of robot-assisted artificial urinary sphincte...
PURPOSE: Postoperative recovery of urinary continence has a great impact on quality of life for pati...
BACKGROUND: Low-dose rate brachytherapy is the referent treatment for early-stage prostate cancer an...
PURPOSE: We aimed to investigate the usefulness of iViz air ver.4 Convex (FUJIFILM, Tokyo) as a tool...
To predict the gamma passing rate (GPR) of the three-dimensional (3D) detector array-based volumetri...
OBJECTIVE: To investigate changes in uroflowmetry parameters in men undergoing robot-assisted radica...
The robust segmentation of organs from the medical image is the key technique in medical image analy...
INTRODUCTION: Renal cell carcinoma (RCC) in solitary kidney (SK) represents a challenging scenario. ...
PURPOSE: Task automation is essential for efficient and consistent image segmentation in radiation o...
An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney disease ...
BACKGROUND: Whether early ligation of the dorsal venous complex (DVC) might improve recovery of urin...
BACKGROUND: We lack data regarding the economic cost of robot-assisted surgical procedures in urolog...
INTRODUCTION AND HYPOTHESIS: A 31-year-old patient with a history of fetal sacrococcygeal teratoma r...