Related Experiment Video
Updated: May 20, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
An Introductory Module of Generative Artificial Intelligence in Medical Education
1Department of Medical Education, Dr. Kiran C. Patel College of Allopathic Medicine, and Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328 USA.
Medical educators need training in generative AI (GenAI). An introductory session improved understanding and acceptance of GenAI tools, highlighting the need for judicious use guidance for educators and learners.
Area of Science:
- Medical Education
- Artificial Intelligence
Background:
- Most medical educators lack training in generative AI (GenAI).
- This gap presents a significant challenge in integrating AI into medical education.
Purpose of the Study:
- To assess the impact of an introductory generative AI (GenAI) module for medical educators.
- To identify concerns and gauge the reception of GenAI in medical education.
Main Methods:
- An introductory GenAI session was developed and delivered.
- Pre- and post-surveys were administered to evaluate the module's effectiveness.
Main Results:
- Post-module survey scores significantly increased across all statements.
- Feedback indicated positive reception and openness to discussing GenAI's benefits and challenges.
Conclusions:
- The introductory module effectively enhanced medical educators' understanding and acceptance of GenAI.
- There is a clear need to guide educators and learners in the judicious application of GenAI tools, understanding their benefits and limitations.
Related Concept Videos
Non-equilibrium in the Cell
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
What is Genetic Engineering?
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...

