Latest AI and machine learning research in urology for healthcare professionals.
Deep learning consistently demonstrates high performance in classifying and segmenting medical image...
PURPOSE: The purpose of this study was to investigate the effect of a surgically constructed bilater...
OBJECTIVE: The feasibility of tracer production of technetium (Tc)-prostate-specific membrane antige...
In this study, we developed a deep learning model to identify patients with tongue cancer based on a...
OBJECTIVES: To determine the value of a deep learning masked (DLM) auto-fixed volume of interest (VO...
Hepatocellular carcinomas (HCCs) are aggressive tumors with a poor prognosis. Approved first-line tr...
INTRODUCTION: With the advent of robot-assisted laparoscopic ureteral reimplantation (RALUR) for pri...
Multiple novel modalities tasking artificial intelligence based computational pathology applications...
Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image ...
PURPOSE: Although renal failure is a major healthcare burden globally and the cornerstone for preven...
OBJECTIVES: Nerve sparing may increase positive surgical margin rate during radical prostatectomy. O...
PURPOSE: To automate the segmentation of treatment applicators on computed tomography (CT) images fo...
Fluorescence imaging is increasingly being implemented in surgery. One of the drawbacks of its appli...
During the production of oil and gas, barium sulfate (BaSO) scale occurs on the inner walls of the t...
At high elevations, the human body experiences a number of pathological, physiological, and biochemi...
Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RA...
In 2022, endoscopic enucleation of the prostate (EEP) is the treatment of choice for benign prostati...
PURPOSE: Single-port (SP) robotic-assisted simple prostatectomy (RASP) through the transvesical appr...