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 Concept Videos

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.4K
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...
4.4K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
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...
5.6K
What is Genetic Engineering?00:49

What is Genetic Engineering?

74.1K
Overview
74.1K
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

1.5K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Screening for Missed Opportunities for Diagnosis in the ED Using eTriggers and Large Language Models.

JAMA network open·2026
Same author

Large reasoning models as thinking machines for medicine.

Nature biomedical engineering·2026
Same author

BRIDGE: benchmarking large language models for understanding real-world clinical practice texts.

Nature biomedical engineering·2026
Same author

Towards Conversational AI for Disease Management.

Nature·2026
Same author

Multimodal foundation models exploit text to make medical image predictions.

Nature communications·2026
Same author

Artificial intelligence to revolutionize surgical decision-making is still just around the corner.

Surgery·2026

Related Experiment Video

Updated: Jun 26, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

547

Harnessing Generative Artificial Intelligence for Medical Education.

Margaret Lie, Adam Rodman, Byron Crowe

    Academic Medicine : Journal of the Association of American Medical Colleges
    |May 9, 2024
    PubMed
    Summary

    Generative artificial intelligence (AI) tools, utilizing large language models (LLMs), can significantly enhance medical education by automating tasks. Educators can leverage AI for various applications and develop effective prompts to maximize its utility.

    More Related Videos

    Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
    08:20

    Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

    Published on: October 27, 2023

    1.4K
    Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
    10:04

    Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

    Published on: May 9, 2018

    11.3K

    Related Experiment Videos

    Last Updated: Jun 26, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    547
    Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
    08:20

    Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

    Published on: October 27, 2023

    1.4K
    Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
    10:04

    Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

    Published on: May 9, 2018

    11.3K

    Area of Science:

    • Medical Education Technology
    • Artificial Intelligence in Healthcare

    Background:

    • Generative artificial intelligence (AI) and large language models (LLMs) are emerging technologies with the potential to revolutionize various sectors.
    • Medical education faces challenges in keeping pace with rapidly evolving knowledge and pedagogical demands.

    Purpose of the Study:

    • To explore the transformative potential of generative AI in medical education.
    • To provide educators with practical examples and a framework for utilizing AI tools.

    Main Methods:

    • The study reviews the capabilities of generative AI, focusing on large language models.
    • It identifies and exemplifies various tasks within medical education that AI can assist with.
    • A framework for prompt engineering tailored for educators is presented.

    Main Results:

    • Generative AI offers a broad knowledge base and advanced natural language processing.
    • AI can perform numerous tasks in medical education that traditionally require substantial human effort.
    • Specific examples of AI applications in medical education are provided.

    Conclusions:

    • Generative AI tools, powered by LLMs, are set to significantly impact and transform medical education.
    • Educators can effectively integrate these tools into their practice by understanding prompt development.