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: Apr 13, 2026

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

1.1K

Simulation-Based Cryosurgery Intelligent Tutoring System Prototype.

Anjali Sehrawat1, Robert Keelan1, Kenji Shimada1

  • 1Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.

Technology in Cancer Research & Treatment
|May 6, 2015
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

Multi-view cryomacroscopy: A new device for study of cryopreservation by vitrification.

Cryobiology·2026
Same author

Multiscale investigation of Snomax effects on supercooling with application to high-subzero cryopreservation: Calorimetry and cryomacroscopy.

Cryobiology·2026
Same author

Risk factors associated with ischemic stroke during temporary oral anticoagulant interruption in patients with non-valvular atrial fibrillation.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026
Same author

Relationship between Constipation and Cerebral Vasospasm after Aneurysmal Rupture and Bowel Control in Patients with Vasospasm:Findings from a Retrospective Study.

The journal of medical investigation : JMI·2026
Same author

Significance and characteristics of patients with Ribbon-like signal hyperintensity after acute ischemic stroke.

The journal of medical investigation : JMI·2026
Same author

Hybrid treatment of adult pial arteriovenous fistula with multiple venous pouches and flow-related aneurysm: a case report.

Acta neurochirurgica·2026
Same journal

Research on Predicting the Efficacy of Immunotherapy for Non-small Cell Lung Cancer Based on CT Radiomics and Peripheral Blood Inflammatory Markers.

Technology in cancer research & treatment·2026
Same journal

Survival Prediction in Patients With Epidermal Growth Factor Receptor-Mutated Non-small Cell Lung Cancer With Bone Metastases Receiving Icotinib Therapy: A Retrospective Observational Study.

Technology in cancer research & treatment·2026
Same journal

Proteomics in Acute Myeloid Leukemia: Current Applications in Precision Medicine and Targeted Immunotherapy.

Technology in cancer research & treatment·2026
Same journal

EML4-ALK in Non-small Cell Lung Cancer: Molecular Mechanisms and Targeted Therapies.

Technology in cancer research & treatment·2026
Same journal

Developing and Validating a Risk Model for Severe Bone Marrow Suppression in Esophageal Cancer Treated with Radiotherapy or Chemoradiotherapy: A Retrospective Cohort Study.

Technology in cancer research & treatment·2026
Same journal

A Novel Adjustable Tandem and Ring Applicator for Improved Dosimetry in Cervical Cancer HDR Brachytherapy.

Technology in cancer research & treatment·2026
See all related articles

This study introduces a computerized cryosurgery tutoring system to train users on cryoprobe placement and thermal history simulation. An intelligent tutoring system showed potential benefits for learning cryosurgery planning.

Area of Science:

  • Medical Simulation
  • Surgical Training
  • Cryosurgery Technology

Background:

  • Cryosurgery requires precise probe placement and understanding of thermal dynamics.
  • Current training methods may lack objective feedback and structured guidance.
  • Computerized tools offer a potential solution for enhancing cryosurgery education.

Purpose of the Study:

  • To present a proof of concept for a computerized tutoring system for cryosurgery.
  • To evaluate the effectiveness of an intelligent tutoring system versus an unguided version.
  • To provide insights into cryosurgery planning processes outside the operating room.

Main Methods:

  • Development of a cryosurgery tutoring system with features for geometrical constraints, cryoprobe insertion simulation, prostate rendering, distance measurement, and thermal history simulation.
Keywords:
bioheatcryosurgeryintelligent systemplanningsimulationtraining

More Related Videos

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.3K
Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.6K

Related Experiment Videos

Last Updated: Apr 13, 2026

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

1.1K
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.3K
Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.6K
  • Comparison of trainee performance against computer-generated plans.
  • Testing of two system versions: unguided and intelligent tutoring system.
  • Evaluation of planning quality based on target region shape and isotherm mismatch.

    • Main Results:

    • The tutoring system successfully simulated key aspects of cryosurgery planning, including geometrical constraints and thermal histories.
    • Trainee planning quality was assessed by comparing their plans to algorithm-generated ones.
    • Preliminary results suggest the intelligent tutoring system may offer advantages over the unguided version.

    Conclusions:

    • A computerized tutoring system for cryosurgery has been demonstrated as a feasible proof of concept.
    • Both guided and unguided versions of the system can provide valuable training insights.
    • The intelligent tutoring system shows promise for potentially accelerating the learning curve in cryosurgery planning.