Introduction: Current training for robotic surgery crisis management, specifically emergency robotic undocking protocol (ERUP), remains limited to anecdotal experience. A curriculum to impart the skills and knowledge necessary to recognize and complete a successful ERUP was developed using an education approach then evaluated.
Methods: Baseline knowledge and confidence regarding ERUP were established for 5 robotic teams before completing 2 full-immersion simulations separated by an online self-paced learning module. In each simulation, teams operated on a perfused hydrogel model and were tasked to dissect a retroperitoneal tumor abutting a major vessel. During vascular pedicle ligation, a major vascular bleed and nonrecoverable robotic fault were remotely induced, necessitating ERUP with open conversion. After the simulation, participants completed surgery task load index (cognitive load assessment) and realism surveys. Weighted checklists scored participants' actions during each simulation. Surgical metrics including estimated blood loss, time to control bleeding, and undocking time were recorded. Curriculum retention was assessed by repeating the exercise at 6 months.
Results: Participants experienced high levels of cognitive demand and agreed that the simulation's realism and stress mimicked live surgery. Longitudinal analysis showed significant knowledge (+37.5 points, p = 0.004) and confidence (+15.3 points, p < 0.001) improvements from baseline to completion. Between simulations, checklist errors, undocking time, and estimated blood loss decreased (38⇾17, -40 seconds, and -500 mL, respectively), whereas action scores increased significantly (+27 points, p = 0.008). At 6 months, insignificant changes from curriculum completion were seen in knowledge (-4.8 points, p = 0.36) and confidence (+3.7 points, p = 0.1).
Conclusions: This simulation-based curriculum successfully improves operative team's confidence, knowledge, and skills required to manage robotic crisis events.
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http://dx.doi.org/10.1097/SIH.0000000000000596 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.
Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.
Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.
Surg Obes Relat Dis
December 2024
UMass Memorial Medical Center, Worcester, Massachusetts.
Surg Today
January 2025
Department of Surgery, Yokohama City University Hospital, 3-9, Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Purpose: In recent years, major advancements have been made in rectal cancer surgery with the introduction of new techniques such as robotic surgery and indocyanine green fluorescence imaging (ICG-FI). This study aimed to evaluate the comprehensive risk factors for anastomotic leakage (AL) following rectal cancer surgery, incorporating recently introduced techniques and other existing factors, to reflect current practices.
Methods: A retrospective analysis was conducted of 304 patients who underwent either robotic or laparoscopic anterior resection between January 2019 and December 2023.
J Clin Med
January 2025
Department of Plastic Surgery, University of Nevada Las Vegas School of Medicine, Las Vegas, NV 89102, USA.
The adoption of robotic surgery has been widespread and increasing amongst gynecologic surgeons given the ability to decrease morbidity. It is important that plastic surgeons adjust their reconstructive algorithm to ascertain the benefits of robotic-assisted surgery. Herein we report our outcomes of robotic-assisted rectus abdominis muscle reconstruction of the posterior vaginal wall along with a current literature review on robotic-assisted reconstructive pelvic surgery.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Urology, University of Rennes, 35000 Rennes, France.
The artificial urinary sphincter has been an effective treatment for stress urinary incontinence caused by intrinsic sphincter deficiency in women. However, the use of this device has been limited by the technical difficulties and risks associated with the open implantation procedure. Preliminary studies using robotic techniques have shown promising results, but only one small study has compared robotic to open procedures.
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