Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: We evaluated the accuracy, safety, and feasibility of a computed tomography (CT)-guided ...
Robot-assisted donor nephrectomy (RDN) is increasingly used due to its advantages such as its precis...
INTRODUCTION: Urinary incontinence after radical prostatectomy (RP) is an adverse event with high im...
INTRODUCTION AND OBJECTIVES: This study aims to investigate the relationship between perineural inva...
The objective of this study was to evaluate the safety and feasibility of Tc-based prostate-specific...
OBJECTIVES: Martini et al. developed a nomogram to predict significant (>25%) renal function loss af...
Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse trans...
OBJECTIVES: To evaluate the risk factors for postoperative ileus in patients who underwent robot-ass...
Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on ex...
BACKGROUND AND OBJECTIVE: Ultrasound imaging has been widely used in the screening of kidney disease...
BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachyther...
INTRODUCTION: The aim of the study was to elucidate the predictive and prognostic value of serum gam...
INTRODUCTION AND OBJECTIVES: We aim to compare the first year oncological and functional outcomes of...
INTRODUCTION: The ReIMAGINE Consortium was conceived to develop risk-stratification models that migh...
BACKGROUND: Recently, our LAP-01 trial demonstrated superiority of robotic-assisted laparoscopic rad...
When touching the surface of an object, its spatial structure translates into a vibration on the ski...
Chronic kidney disease (CKD) has become a widespread disease among people. It is related to various ...
Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for locali...