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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Feasibility of Learner-Led Model Building for Simulation-Based Training in Open Inguinal Hernia Repair: A Randomized Controlled Trial.

Journal of surgical education·2026
Same author

Comparison of outcomes of minimally invasive vs. open surgery in patients with symptomatic hiatal hernias: a systematic review and meta-analysis.

Surgical endoscopy·2026
Same author

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same author

Current validation practice undermines surgical AI development.

ArXiv·2026
Same author

Obesity care education in Canadian medical schools: A multi-site qualitative study.

Obesity pillars·2026
Same author

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

Scandinavian journal of trauma, resuscitation and emergency medicine·2026

Related Experiment Video

Updated: Oct 8, 2025

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

124

Training in soft tissue resection using real-time visual computer navigation feedback from the Surgery Tutor: A

Meredith Poole1, Tamas Ungi1, Gabor Fichtinger1

  • 1Kingston Health Sciences Center, Queen's University, Kingston, Ontario, Canada.

Surgery
|December 31, 2021
PubMed
Summary

Real-time computer navigation feedback significantly improved surgical trainees' ability to achieve negative margins during simulated soft tissue tumor resection. This technology enhances procedural skill acquisition in competency-based medical education.

More Related Videos

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

3.8K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.2K

Related Experiment Videos

Last Updated: Oct 8, 2025

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

124
Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

3.8K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.2K

Area of Science:

  • Medical Education
  • Surgical Simulation
  • Medical Technology

Background:

  • Competency-based medical education requires surgical trainees to master skills in simulation before clinical practice.
  • The Surgery Tutor platform offers proctor-less assessment of open soft tissue resection but its use for skill acquisition is unexplored.

Purpose of the Study:

  • To evaluate the efficacy of real-time computer navigation feedback for acquiring surgical procedural skills.
  • To compare skill acquisition using the Surgery Tutor with and without navigation feedback.

Main Methods:

  • Prospective randomized controlled trial with 20 final year medical students.
  • Intervention group (n=10) received training with real-time computer navigation feedback.
  • Control group (n=10) received simulation training without navigation feedback for simulated tumor resection.

Main Results:

  • The intervention group achieved a significantly lower positive margin rate (0% vs. 40%, P = .025).
  • Participants with navigation feedback showed significant improvement in positive margin rates from baseline (80% to 0%, P < .01).
  • No significant differences were observed in procedure time, tissue excised, or scalpel motion metrics.

Conclusions:

  • Real-time visual computer navigation feedback enhances surgical skill acquisition.
  • The Surgery Tutor platform effectively improves procedural learning, particularly in achieving negative margins.