Title - Alternative
Artificial Intelligence in Medicine: A Game-Changer in Education and Practice
Institution Type
Doctorate-granting university
Course Level
Undergraduate
Modality of Lesson
In-Person
Category
Task Execution with Human Oversight
Primary AI Tool Used
ChatGPT
Learning Objectives
- Understand foundational medical concepts and various types of diagnostic tests relevant to pathophysiology.
- Apply clinical reasoning to case studies.
- Explore the role of AI in modern healthcare.
Strategy Description
This entry describes the integration of AI-powered platforms such as Osmosis, Khan Academy, and ChatGPT into undergraduate medical education. These tools support student engagement, deepen understanding of complex topics, and prepare learners for a tech-driven medical landscape. By embedding AI into course design, educators can address challenges such as limited clinical exposure, diverse learning needs, and time constraints.
Publisher
University of Central Florida Libraries
Keywords
Osmosis; Ada; ChatGPT; Labster; Coursera; Khan Academy
Subjects
Artificial intelligence--Educational applications; Medical education--Computer-assisted instruction; Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Medical applications; Medicine--Study and teaching--Data processing
Type
Text; Document
Collection
Audience
Faculty; Students; Educators
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Ferdowsi, Katia, "AI in Medicine: A Game-Changer in Education and Practice" (2026). Teaching Repository of AI-Infused Learning. 19.
https://stars.library.ucf.edu/traiil/19