PURPOSE: To investigate the efficacy of continuous suturing using barbed suture for vesicourethral anastomosis (VUA) during robot-assisted laparoscopic radical prostatectomy (RARP).
PURPOSE: We report a comparative monocentric study with a short and long-term follow-up with the aim to assess differences about urinary continence outcomes in patients treated with Robot-Assisted Radical Prostatectomy (RARP) with two different techn...
OBJECTIVES: To assess the ChatGPT (Open AI) artificial intelligence platform's utility and accuracy as a patient education tool in robotic-assisted radical prostatectomy.
PURPOSE: To test the role of endogenous total testosterone (ETT) as a predictor of prostate cancer (PCa) progression in patients treated with robot assisted radical prostatectomy for clinically localized disease.
PURPOSE: This multi-institutional study aimed to assess the outcomes of laparoscopic ureterocalicostomy (LUC) and robot-assisted laparoscopic ureterocalicostomy (RALUC) and compare them with laparoscopic pyeloplasty (LP) and robot-assisted laparoscop...
Upper-tract urothelial carcinoma is a relatively rare malignancy. Current guidelines strongly recommend radical nephroureterectomy with bladder cuff excision and template-based lymph node dissection for all high-risk upper-tract urothelial carcinomas...
PURPOSE: To evaluate urinary outcomes of pelvic construction and lateral capsule sparing techniques in robot-assisted radical cystectomy with orthotopic ileal neobladder (RARC-OIN).
PURPOSE: Although renal failure is a major healthcare burden globally and the cornerstone for preventing its irreversible progression is an early diagnosis, an adequate and noninvasive tool to screen renal impairment (RI) reliably and economically do...
PURPOSE: The objective of this study was to compare perioperative outcomes and total and split renal function between laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN). Predictive risk factors of preservation of ope...
BACKGROUND: Accurate estimating glomerular filtration rate (GFR) is crucial both in clinical practice and epidemiological survey. We incorporated semi-supervised learning technology to improve GFR estimation performance.