Latest AI and machine learning research in urology for healthcare professionals.
We report the world's first case series of ten robot-assisted radical prostatectomy (RARP) procedures performed with the Dexter robotic system (Distalmotion SA, Épalinges, Switzerland). The Dexter system is an open robotic platform that integrates into the existing operating room (OR) equipment. The optional sterile environment for the surgeon console provides flexibility for transition between a ...
PURPOSE: To report the trends, predictors, and patient outcomes of same-day discharge (SDD) versus non-SDD for robot-assisted laparoscopic radical prostatectomy (RALP).
To the Editor, Although postoperative pain associated with robot-assisted radical prostatectomy (RARP) is less than pain following the open technique,...
PURPOSE OF REVIEW: Robotic surgery in urology has already been widely employed in robotic-assisted laparoscopic surgery for minimally invasive procedu...
The purpose of this study was to compare the clinical outcomes of bladder cancer patients treated with extended pelvic lymph node dissection (ePLND) ...
BACKGROUND: Robot-assisted radical prostatectomy (RARP) is a risk factor for inguinal hernia (IH). Furthermore, in patients who have undergone RARP, t...
BACKGROUND: Renal tumour can invade the venous system and ~4-10% patients with renal tumour had venous thrombus. Although the feasibility of robot-ass...
IMPORTANCE: The value to payers of robot-assisted radical cystectomy with intracorporeal urinary diversion (iRARC) when compared with open radical cys...
There is emerging but limited data assessing single-port (SP) robot-assisted surgery as an alternative to multi-port (MP) platforms. We compared perio...
BACKGROUND: Tumors with a high nephrometry score represent a challenging surgical scenario for which robotic partial nephrectomy (RPN) is a primary op...
Robot-assisted radical prostatectomy with previous holmium laser enucleation of the prostate is challenging, and few studies have analyzed its periope...
Dropout is a mechanism to prevent deep neural networks from overfitting and improving their generalization. Random dropout is the simplest method, whe...
The application of artificial intelligence (AI) approaches to drug discovery for G protein-coupled receptors (GPCRs) is a rapidly expanding area. Arti...
Chronic kidney disease (CKD) affects over 850 million people globally, and the need to prevent its development and progression is urgent. During the p...
PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patient...
AIM: The hinotori surgical robot system, a newly launched platform, has already been utilized in several urological robotic surgeries; however, limite...
The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However,...
BACKGROUND: Few studies on totally intracorporeal robot-assisted ileal ureter replacement (RA-IUR) have been reported.
We aimed to evaluate the renoprotective effects of remote ischemic preconditioning (RIPC) in patients undergoing robot-assisted laparoscopic partial n...
BACKGROUND: Accurate prediction of side-specific extraprostatic extension (ssEPE) is essential for performing nerve-sparing surgery to mitigate treatm...