OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to predict distant metastasis in uterine carcinosarcoma, aiding clinical decision-making.
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 ...
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: 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...
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,...
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...
Journal of laparoendoscopic & advanced surgical techniques. Part A
Mar 4, 2021
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation on the postoperative course of patients at the end of transperitoneal robot-assisted radical prostatectomy (tRARP). It is also aimed to examine the rel...
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