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

Artificial Intelligence in Physical Therapy: A Narrative Review of Artificial Intelligence Applications Across the Patient and Client Management Model.

Health science reports·2026
Same author

Extended Reality in Rehabilitation Medicine: A Systematic Review.

Health science reports·2026
Same author

Integrated Analysis of Circadian and Sleep Signatures in Depression and Schizophrenia Using Multi-Day Actigraphy.

Bioengineering (Basel, Switzerland)·2026
Same author

The Role of Psychosocial Support in Balance Improvements Following a Community-Based Tai Chi Program Among Latino Older Adults.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Active guidance in ultrasound bladder scanning using reinforcement learning.

Scientific reports·2026
Same author

Utilization of AI Among Medical Students and Development of AI Education Platforms in Medical Institutions: Cross-Sectional Study.

JMIR human factors·2026

Related Experiment Video

Updated: Nov 12, 2025

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve
08:21

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve

Published on: August 15, 2025

410

Assessing Laparoscopic Surgical Skills Using Similarity Network Models: A Pilot Study.

Elham Rastegari1, Donovan Orn2, Mohsen Zahiri3

  • 1Department of Business Intelligence and Analytics, 6216Creighton University, Omaha, NE, USA.

Surgical Innovation
|March 22, 2021
PubMed
Summary

A new similarity network model objectively assesses laparoscopic surgical skills in medical trainees. This framework helps determine skill readiness for advancement, improving surgical education and device training.

Keywords:
laparoscopic surgical skillspeg transfersimilarity network model

More Related Videos

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

20.0K
Learning Modern Laryngeal Surgery in a Dissection Laboratory
07:30

Learning Modern Laryngeal Surgery in a Dissection Laboratory

Published on: March 18, 2020

8.4K

Related Experiment Videos

Last Updated: Nov 12, 2025

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve
08:21

Utilizing a 3D Printed Laparoscopic Nissen Fundoplication Model to Shorten a Resident's Learning Curve

Published on: August 15, 2025

410
Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

20.0K
Learning Modern Laryngeal Surgery in a Dissection Laboratory
07:30

Learning Modern Laryngeal Surgery in a Dissection Laboratory

Published on: March 18, 2020

8.4K

Area of Science:

  • Medical Education
  • Surgical Skills Assessment
  • Medical Device Training

Background:

  • Medical devices are increasingly complex, necessitating rapid skill acquisition by physicians.
  • Objective assessment of laparoscopic surgical skills and advancement readiness remains a challenge.
  • A gap exists in objective models for comparing trainee and experienced physician performance.

Purpose of the Study:

  • To introduce a graph-based similarity network model for evaluating laparoscopic surgical skills.
  • To objectively assess medical trainees' skill levels and readiness for progression.
  • To compare performance between medical students and residents using medical devices.

Main Methods:

  • Utilized similarity network models for individual and combined tasks.
  • Analyzed performance data from 16 participants (5 residents, 11 students) across 3 tasks and training schedules.
  • Established a criterion where student-resident similarity indicates competence for the next training level.

Main Results:

  • Demonstrated positive progression in student performance over four training sessions.
  • Observed performance variations based on different training schedules.
  • Found that closely spaced training sessions accelerate skill acquisition compared to widely spaced ones.

Conclusions:

  • Proposed a graph-based framework for evaluating learner performance on medical devices.
  • Highlighted the utility of similarity network analysis for classifying performance and informing training decisions.
  • Facilitated objective decision-making regarding trainee progression through curricula.