Jove
Visualize
Contact Us

Related Concept Videos

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.1K
Teeth01:15

Teeth

281
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
281
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.5K
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Innovating Assessment in Dental Education: Integrating Video/Podcast Projects as an Evaluation Method.

Journal of dental education·2025
Same author

Enhancing dental education through 3D manuals: A transformative approach.

Journal of dental education·2024
See all related articles
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: May 23, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

752

Generative Artificial Intelligence Innovations in Dental Education: Easing Faculty Workloads.

Adaias Oliveira Matos1

  • 1Department of Restorative Dentistry, University at Buffalo School of Dental Medicine, Buffalo, New York, USA.

Journal of Dental Education
|May 21, 2025
PubMed
Summary
This summary is machine-generated.

Large Language Models (LLMs) in dental education streamline instructional design, reducing faculty workload and enhancing teaching. Thoughtful AI integration boosts efficiency, innovation, and faculty satisfaction.

More Related Videos

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.3K

Related Experiment Videos

Last Updated: May 23, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

752
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
07:14

Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities

Published on: May 24, 2022

4.3K

Area of Science:

  • Medical Education
  • Artificial Intelligence in Education
  • Health Professions Education

Background:

  • Faculty in dental and health professions education experience increasing workloads, contributing to stress, burnout, and attrition.
  • Generative artificial intelligence (AI) tools, specifically Large Language Models (LLMs), offer potential solutions to alleviate these burdens.

Purpose of the Study:

  • To investigate the application of LLMs in assisting with instructional design within a dental curriculum.
  • To evaluate the impact of LLM integration on faculty workload, teaching approaches, and overall job satisfaction.

Main Methods:

  • LLMs were utilized for lecture preparation, course design, and assessment creation under an institutional AI seed grant.
  • Faculty actively refined AI-generated content for accuracy and relevance, maintaining essential oversight.

Main Results:

  • LLM integration reduced time spent on routine instructional design tasks.
  • Faculty reported more time for mentoring and pedagogy, alongside inspiration for creative teaching methods.
  • Challenges included managing AI-generated content inaccuracies and optimizing prompt engineering.

Conclusions:

  • The pilot program demonstrated that strategic adoption of AI, particularly LLMs, can enhance efficiency and foster innovation in dental education.
  • Thoughtful AI integration supports faculty well-being and can lead to improved educational outcomes.