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: Jul 16, 2026

Endaural Endoscopic Atticoantrotomy (Retrograde Mastoidectomy) using a Constant Suction Bone-drilling Technique
07:06

Endaural Endoscopic Atticoantrotomy (Retrograde Mastoidectomy) using a Constant Suction Bone-drilling Technique

Published on: May 23, 2021

Evaluating drilling and suctioning technique in a mastoidectomy simulator.

Christopher Sewell1, Dan Morris, Nikolas H Blevins

  • 1Department of Computer Science, Stanford University, USA.

Studies in Health Technology and Informatics
|March 23, 2007
PubMed
Summary

New metrics for mastoidectomy simulation assess bone removal and suctioning techniques. A Naïve Bayes classifier accurately distinguished expert from novice performance, correlating well with instructor evaluations.

Related Concept Videos

Tracheostomy Suctioning II: Procedure01:23

Tracheostomy Suctioning II: Procedure

Tracheostomy suctioning is a vital nursing procedure that involves removing secretions from the tracheostomy tube to maintain airway patency and prevent respiratory complications. Nurses need to understand the proper technique for tracheostomy suctioning to ensure patient safety and comfort. In this guide, we will outline the step-by-step process for performing tracheostomy suctioning, including preparing the sterile field, donning personal protective equipment (PPE), lubricating and connecting...

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

Area of Science:

  • Neurosurgery Simulation
  • Surgical Skill Assessment
  • Medical Education Technology

Background:

  • Objective assessment of surgical skills in mastoidectomy is crucial for training.
  • Current evaluation methods for mastoidectomy simulation may lack detailed, quantitative metrics.
  • Developing precise metrics can improve feedback and proficiency in surgical training.

Purpose of the Study:

  • To introduce novel metrics for evaluating bone removal and suctioning techniques in mastoidectomy simulation.
  • To develop and validate a computational model for distinguishing expert from novice performance.
  • To assess the correlation between computational metrics and expert instructor evaluations.

Main Methods:

  • Utilized a Naïve Bayes classifier trained on expert and novice mastoidectomy simulation data.

More Related Videos

The Microscopic Transcanal Approach in Stapes Surgery Revisited
07:35

The Microscopic Transcanal Approach in Stapes Surgery Revisited

Published on: February 16, 2022

Related Experiment Videos

Last Updated: Jul 16, 2026

Endaural Endoscopic Atticoantrotomy (Retrograde Mastoidectomy) using a Constant Suction Bone-drilling Technique
07:06

Endaural Endoscopic Atticoantrotomy (Retrograde Mastoidectomy) using a Constant Suction Bone-drilling Technique

Published on: May 23, 2021

The Microscopic Transcanal Approach in Stapes Surgery Revisited
07:35

The Microscopic Transcanal Approach in Stapes Surgery Revisited

Published on: February 16, 2022

  • Employed mutual information to identify the most informative bone voxels for classification.
  • Implemented leave-one-out cross-validation for model performance assessment.
  • Developed additional metrics for drill stroke smoothness, burr selection, suctioning adequacy, tool coordination, and force/velocity control.

    • Main Results:

    • The Naïve Bayes classifier demonstrated a high correlation between calculated expert probabilities and instructor-assigned scores.
    • Identification of informative voxels significantly reduced computational load for the classifier.
    • The study successfully quantified various aspects of surgical technique beyond simple bone removal.
    • Validated metrics showed potential for objective skill assessment in mastoidectomy.

    Conclusions:

    • The developed metrics and computational approach provide a robust, objective method for evaluating mastoidectomy simulation performance.
    • This technology can enhance surgical training by offering precise, data-driven feedback to trainees.
    • Further integration of these metrics into surgical simulators can significantly improve the quality of otologic surgical education.