Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Deep learning-based unsupervised image registration has recently been proposed, promisin...
Complete endophytic renal tumors (CERTs) are the most challenging for robot-assisted partial nephre...
OBJECTIVE: This study analyzes the potential cost-effectiveness of integrating an artificial intelli...
Digitalization is increasingly finding its way into intensive care units and with it artificial inte...
To evaluate the recurrence rate and risk factors of recurrence after robot-assisted laparoscopic par...
PURPOSE: To describe the surgical techniques and to analyse the outcomes of single-port robot-assist...
BACKGROUND: The Prostate Imaging Reporting and Data System (PI-RADS) is an established reporting sch...
OBJECTIVE: To evaluate the outcomes of children with vesicoureteral reflux (VUR) and obstructive meg...
A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-organ segmentation in ...
PURPOSE: AirSeal is a valve-less trocar insufflation system which is widely used in robotic urologic...
BACKGROUND: Epstein-Barr virus (EBV) chronic high viral load (CHVL) may be defined by >16 000 copies...
BACKGROUND AND AIMS: Artificial Intelligence (AI) models like GPT-3.5 and GPT-4 have shown promise a...
OBJECTIVE: Accurate delineation of renal regions of interest (ROIs) is critical for the assessment o...
BACKGROUND: The first robot-assisted kidney transplantation (RAKT) was conducted in 2010, and the fi...
To evaluate functional outcomes of robot-assisted ureteroplasty with labial mucosa grafting for lon...
Magnetic-assisted robotic surgery (MARS) has been developed to maximize patient benefits of minimal...
PURPOSE OF REVIEW: Nephropathology is increasingly incorporating computational methods to enhance re...
PURPOSE: Diagnosing Renal artery stenosis (RAS) presents challenges. This research aimed to develop ...