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

Visuohaptic simulation of bone surgery for training and evaluation.

Dan Morris1, Christopher Sewell, Federico Barbagli

  • 1Stanford University, USA. dmorris@cs.stanford.edu

IEEE Computer Graphics and Applications
|November 24, 2006
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

AI and computer vision for wildlife identification in camera trap images: Fine-tuning SpeciesNet outperforms local models for species classification.

The Science of the total environment·2026
Same author

Perception-first digital twin for augmented reality microsurgery.

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

Intraoperative Label-free Detection of Cholesteatoma Using Autofluorescence: A Feasibility Study.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2026
Same author

Natural forests of the world - a 2020 baseline for deforestation and degradation monitoring.

Scientific data·2025
Same author

Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery.

NPJ digital medicine·2025
Same author

The Role of Routine Plain Film Imaging Post Cochlear Implantation.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2025

This study introduces a visual and haptic simulation system for bone surgeries like temporal bone and mandibular procedures. The system offers automatic performance metrics, validating its effectiveness for surgical training.

Area of Science:

  • Medical simulation
  • Surgical training technologies
  • Computational anatomy

Background:

  • Traditional surgical training methods have limitations.
  • Visual and haptic feedback are crucial for complex procedures.
  • Objective performance metrics are needed to assess surgical skills.

Purpose of the Study:

  • To present a novel system for visual and haptic simulation of bone surgeries.
  • To enable realistic simulation of procedures like temporal bone and mandibular surgery.
  • To develop and evaluate automatic computation of surgical performance metrics.

Main Methods:

  • Development of an integrated visual and haptic simulation platform.
  • Implementation of algorithms for simulating bone manipulation.

Related Experiment Videos

  • Design of automated metrics for evaluating surgical performance.

    • Main Results:

    • The simulation system accurately replicates visual and haptic aspects of bone surgery.
    • Automated performance metrics were successfully computed during simulated procedures.
    • Experimental validation confirmed the system's construct validity.

    Conclusions:

    • The developed simulation system is a promising tool for enhancing surgical education.
    • Automatic performance metrics can provide objective feedback for trainees.
    • This technology has the potential to improve surgical training outcomes for bone procedures.