AI Medical Compendium Journal:
World journal of urology

Showing 121 to 130 of 131 articles

Robotic-assisted kidney transplantation: our first case.

World journal of urology
PURPOSE: Kidney transplantation is the preferred treatment for patients with end-stage renal disease. In order to reduce the morbidity of the open surgery, a robotic-assisted approach has been recently introduced. According to the published literatur...

Comparing the efficacy and safety between robotic-assisted versus open pyeloplasty in children: a systemic review and meta-analysis.

World journal of urology
OBJECTIVE: This manuscript is mainly to systemically review the published reports that compared the efficacy and safety of robotic-assisted (RP) versus open pyeloplasty (OP) in children with ureteropelvic junction obstruction (UPJO).

Robotic-assisted pelvic lymph node dissection for prostate cancer: frequency of nodal metastases and oncological outcomes.

World journal of urology
PURPOSE: Limited data are available regarding the oncologic efficacy of pelvic lymph node dissection (PLND) performed during robotic-assisted laparoscopic prostatectomy (RALP) for prostate cancer. We aimed to determine the frequency of pelvic lymph n...

Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy.

World journal of urology
INTRODUCTION: Adherent perirenal fat (APF) can be defined as inflammatory fat sticking to renal parenchyma, whose dissection is difficult and makes it troublesome to expose the tumour. Our objective was to evaluate the impact of APF on the technical ...

Perioperative and long-term renal functional outcomes of robotic versus laparoscopic partial nephrectomy: a multicenter matched-pair comparison.

World journal of urology
PURPOSE: We compared perioperative and long-term renal functional outcomes of robot-assisted partial nephrectomy (RAPN) with laparoscopic partial nephrectomy (LPN) for small renal masses.

A novel predictive method for URS and laser lithotripsy using machine learning and explainable AI: results from the FLEXOR international database.

World journal of urology
PURPOSE: We developed Machine learning (ML) algorithms to predict ureteroscopy (URS) outcomes, offering insights into diagnosis and treatment planning, personalised care and improved clinical decision-making.