Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Aim of the current study is to describe our technique of hydrodissection (HD) of the ret...
BACKGROUND: Improved cancer control with increasing surgical experience-the learning curve-was demon...
Gene selection is one of the key steps for gene expression data analysis. An SVM-based ensemble feat...
PURPOSE: The aim of this study was to evaluate the effect of salvage radiation therapy (sRT) on surv...
Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...
This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pe...
The interpretation of conventional MRI may be limited by the two-dimensional presentation of the ima...
OBJECTIVES: To prospectively analyse robotically administered transperitoneal transversus abdominis ...
Surgical skill evaluation while performing minimally invasive surgeries is a highly complex task. I...
BACKGROUND: Uroflowmetry remains an important tool for the assessment of patients with lower urinary...
A retrocaval ureter (RCU) is a rare cause of congenital ureteral obstruction that often requires sur...
Renal pathology is essential for diagnosing and assessing the severity and prognosis of kidney disea...
The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its a...
This study aimed to create a consensus statement on the indications, applications, and limitations ...
PURPOSE: To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients w...
Malignancies and diseases of various genetic origins can be diagnosed and classified with microarray...
BACKGROUND: Urinary continence (UC) recovery dramatically affects quality of life after robot-assist...
INTRODUCTION: Robotic partial nephrectomy is a complex minimally invasive procedure that addresses t...