PURPOSE: The purpose of this study was to investigate the effect of a surgically constructed bilateral peritoneal flap (PIF) as an adjunct to robot-assisted radical prostatectomy (RARP) and pelvic lymph node dissection (PLND) on the incidence of lymp...
INTRODUCTION: To evlauate role of peritoneal re-approximation methods in the prevention of symphtomatic lymphocele formation in patients underwent transperitoneal robot-assisted laparoscopic prostatectomy (tRALP) and extendeded pelvic lympadenoctomy ...
BACKGROUND: Symptomatic lymphoceles present the most common complication of robot-assisted radical prostatectomy (RARP) with extended pelvic lymph node dissection (ePLND). No surgical technique has so far shown success in reducing the incidence rate,...
BACKGROUND: Automation of surgical phase recognition is a key effort toward the development of Computer Vision (CV) algorithms, for workflow optimization and video-based assessment. CV is a form of Artificial Intelligence (AI) that allows interpretat...
BACKGROUND: Direct optical trocar insertion is a common procedure in laparoscopic minimally invasive surgery. However, misinterpretations of the abdominal wall anatomy can lead to severe complications. Artificial intelligence has shown promise in sur...
Peritoneal metastasis (PM) is a frequent manifestation of advanced abdominal malignancies. Accurately assessing the extent of PM before surgery is essential for patients to receive optimal treatment. Therefore, we propose to construct a deep learning...
BACKGROUND: Trans-abdominal pre-peritoneal (TAPP) hernia repair is a complex procedure that presents several challenges. Even though, due to the high prevalence of inguinal hernia, TAPP technique is increasing in frequency and robotic Abdominal Wall ...
OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to predict distant metastasis in uterine carcinosarcoma, aiding clinical decision-making.