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

A computer program to aid in visual concept development in dentistry

E S Wallen1, T M Schulein, L A Johnson

  • 1University of New Mexico, Health Sciences Center, Albuquerque 87131-5271, USA.

Computer Methods and Programs in Biomedicine
|February 1, 1997
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

Modeling the propagation of a high-average-power train of ultrashort laser pulses.

Optics express·2022
Same author

Benchmarking background oriented schlieren against interferometric measurement using open source tools.

Applied optics·2020
Same author

Seasonality of births in horizontal strabismus: comparison with birth seasonality in schizophrenia and other disease conditions.

Journal of developmental origins of health and disease·2019
Same author

Lensing properties of rotational gas flow: erratum.

Applied optics·2019
Same author

Lensing properties of rotational gas flow.

Applied optics·2018
Same author

Impact of scientific and technological advances.

European journal of dental education : official journal of the Association for Dental Education in Europe·2018
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

Computer-based instruction improved dental students' visual recognition skills for tooth morphology. Students using the program in their dental anatomy course performed better on recognition and wax carving exams.

Area of Science:

  • Dental Education
  • Biomedical Visualization

Background:

  • Dental students learn tooth morphology via hands-on wax carving, requiring visual recognition and eye-hand coordination.
  • Many students face challenges with these skills, impacting their learning of dental anatomy.

Purpose of the Study:

  • To evaluate a computer program designed to enhance visual recognition skills for dental morphology.
  • To determine optimal implementation strategies for computer-based learning in dental anatomy.

Main Methods:

  • Freshman dental students were divided into experimental (computer program) and control groups.
  • Both groups received standard laboratory critiques; experimental groups used a computer program for recognition concepts.
  • Performance was assessed via recognition and wax carving practical examinations.

Related Experiment Videos

Main Results:

  • All experimental groups significantly outperformed the control group on both recognition and practical examinations.
  • Computer-based instruction demonstrated a positive impact on developing visual concept skills.

Conclusions:

  • Computer-based learning tools can effectively supplement traditional dental anatomy education.
  • This approach shows potential for improving students' foundational skills in recognizing and reproducing tooth morphology.