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 Videos

SINERGIA laparoscopic virtual reality simulator: didactic design and technical development.

Pablo Lamata1, Enrique J Gómez, Francisco M Sánchez-Margallo

  • 1Grupo de Bioingeniería y Telemedicina (GBT), ETSI Telecomunicación, Universidad Politécnica de Madrid (UPM), Ciudad Universitaria s/n, 28040 Madrid, Spain.

Computer Methods and Programs in Biomedicine
|February 3, 2007
PubMed
Summary
This summary is machine-generated.

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

Beyond pneumoperitoneum: technical feasibility and predictive factors for gasless laparoscopic cholecystectomy in dogs.

Veterinary research communications·2026
Same author

A Novel Minimally Invasive Porcine Model of Functional Tricuspid Regurgitation.

Journal of cardiovascular development and disease·2026
Same author

Beyond Hydronephrosis: Perirenal Fluid on Screening Ultrasound in Patients With Renal Colic at a Basic Emergency Service.

Cureus·2026
Same author

Orthopedic surgery assisted by mixed reality technology: systematic review.

Frontiers in surgery·2026
Same author

Primarily Gasless Robot-Assisted Cholecystectomy in Dogs: A Cadaveric Feasibility Study.

Veterinary sciences·2026
Same author

Interstitial Digital Subtraction Pedal Lymphangiography with an Ionic Contrast Agent: A Porcine Pilot Study.

Radiology·2026
Same journal

MMFVS-Net: A triple-symmetric cross-attention network for multimodal optical image fusion and high-accuracy virtual staining of breast cancer tissues.

Computer methods and programs in biomedicine·2026
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
See all related articles

This study introduces the SINERGIA virtual reality (VR) laparoscopic simulator, focusing on effective surgical training. The simulator enhances didactic design and technical features for improved laparoscopic skills development.

Area of Science:

  • Medical Simulation
  • Surgical Education
  • Virtual Reality Technology

Background:

  • Virtual reality (VR) laparoscopic simulators show proven validity for surgical training.
  • Research is increasingly focused on enhancing training effectiveness and efficacy in surgical education.
  • Existing simulators and validation studies inform the development of new training tools.

Purpose of the Study:

  • To provide insight into the didactic design and technical development of VR laparoscopic simulators.
  • To describe the methodology behind the creation of the SINERGIA simulator.
  • To introduce new didactic exercises for fundamental laparoscopic skills.

Main Methods:

  • Analysis of surgical training needs and curriculum requirements.
  • Definition of specifications based on existing solutions and validation data.

Related Experiment Videos

  • Development of a particle-based biomechanical model (PARSYS) and multi-point collision handling.
  • Integration of advanced simulation technologies and novel didactic exercises.
  • Main Results:

    • The SINERGIA VR laparoscopic simulator was constructed incorporating new didactic exercises.
    • Enhanced simulation technologies, including the PARSYS biomechanical model, were implemented.
    • The simulator demonstrated good acceptance among surgeons participating in training.

    Conclusions:

    • The SINERGIA simulator represents an advancement in VR laparoscopic training tools.
    • The developed methodology and technical solutions contribute to effective surgical skills acquisition.
    • Further adoption of such advanced simulators can improve surgical training outcomes.