Core section headings
1. Introduction to AI in Medical Education
- Defining the AI landscape: A brief overview of key AI concepts, such as machine learning, deep learning, natural language processing, and generative AI (e.g., ChatGPT), and how they are used in healthcare.
- The paradigm shift: Explain why AI proficiency is now essential for the next generation of physicians and researchers.
- Historical context: Briefly touch on the evolution of AI's role in medicine and education, highlighting the rapid advancement in recent years. [5, 6, 7, 8, 9]
2. Applications of AI in medical education
- Personalized and adaptive learning: Explain how AI can customize content, pace, and material for each student, providing targeted guidance and feedback.
- Simulations and virtual environments: Discuss AI-powered clinical and surgical simulators that provide safe, immersive learning experiences for practicing procedural skills and decision-making.
- Teacher: Admin User