Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Feb 18, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

10.3K

Residents' response to bleeding during a simulated robotic surgery task.

Jessica L Walker1, Jay N Nathwani1, Hossein Mohamadipanah1

  • 1Department of Surgery, University of Wisconsin, Madison, Wisconsin.

The Journal of Surgical Research
|November 29, 2017
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

SBAS presidential address: A surgeon-scientist's journey from haptic science to digital performance metrics.

American journal of surgery·2026
Same author

6-DoF dental pose estimation for AR-assisted craniofacial surgery.

International journal of computer assisted radiology and surgery·2026
Same author

Current validation practice undermines surgical AI development.

ArXiv·2026
Same author

Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection.

NPJ digital medicine·2026
Same author

Enhancing open-surgery gesture recognition using 3D pose estimation.

International journal of computer assisted radiology and surgery·2026
Same author

Efficient computer vision pipeline for automated anesthetic injection documentation.

Computer assisted surgery (Abingdon, England)·2025

This study validates a new robotic surgery simulator for assessing surgical resident performance. The simulator effectively differentiates skill levels, showing high realism and utility for training in complex procedures.

Area of Science:

  • Medical Simulation
  • Surgical Training
  • Robotic Surgery

Background:

  • Assessing the validity of a novel robotic surgery task trainer.
  • Hypothesizing inter-cohort performance variations and differences between residents and fellows.

Purpose of the Study:

  • To evaluate the performance measurement validity of a new robotic surgery task trainer.
  • To determine if the trainer can differentiate between surgical resident and fellow performance.

Main Methods:

  • Developed a pelvic tumor model simulating unexpected bleeding for the da Vinci robot.
  • Participants (residents and fellows) performed tumor resection and hemostasis within 20 minutes.
  • Utilized a motion tracking system and post-participation surveys to assess performance and model utility.
Keywords:
Robotic surgerySimulationSurgical education

More Related Videos

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

4.2K
A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine
08:27

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine

Published on: December 6, 2024

684

Related Experiment Videos

Last Updated: Feb 18, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

10.3K
Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

4.2K
A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine
08:27

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine

Published on: December 6, 2024

684

Main Results:

  • Three of seven residents and one fellow successfully completed the task.
  • Residents exhibited significant variability in performance and blood loss (125-700 mL) compared to the fellow (150 mL).
  • All participants rated the simulator model as highly realistic and useful for training.

Conclusions:

  • The bleeding pelvic tumor simulator effectively discriminates resident performance in robotic surgery.
  • A multi-level assessment combining motion, decision-making, and blood loss metrics provides comprehensive performance evaluation.
  • The simulator demonstrates utility in assessing both technical skills and decision-making abilities in surgical trainees.