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...
. Computed tomography (CT) to material property conversion dominates proton range uncertainty, impac...
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...
A probabilistic neural network has been implemented to predict the malignancy of breast cancer cells...
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...
The robust segmentation of organs from the medical image is the key technique in medical image analy...
OBJECTIVE: To investigate changes in uroflowmetry parameters in men undergoing robot-assisted radica...
PURPOSE: An inevitable feature of ultrasound-based diagnoses is that the quality of the ultrasound i...
INTRODUCTION: Renal cell carcinoma (RCC) in solitary kidney (SK) represents a challenging scenario. ...
OBJECTIVE: To report our initial experience with robotic radical prostatectomy as an outpatient proc...