Overview of the field of artificial intelligence

Types of AI

Traditional AI

• Rule-based systems
• Expert systems
• Clinical decision support systems
• Automated assessment tools

Machine learning

• Supervised learning in healthcare education
  • Classification of student performance
  • Prediction of learning outcomes
• Unsupervised learning applications
  • Pattern recognition in learning behaviors
  • Clustering of student learning styles

Generative AI

• Large Language Models (LLMs)
  • Automated content creation for cases
  • Personalized learning materials
  • Clinical scenario generation
• Text-to-Image Models
  • Medical illustration generation
  • Anatomical visualization
  • Pathology image synthesis
• Text-to-Video Models
  • Procedure demonstrations
  • Patient interaction simulations

Neural networks

• Deep learning in medical image recognition
• Applications in simulation-based training
• Adaptive learning systems

Natural Language Processing

• Automated feedback systems
• Clinical case analysis
• Virtual patient interactions
• Assessment of medical documentation
• Language analysis for clinical reasoning

Implementation planning

• AI integration strategies
• Ethical considerations and limitations
• Integration with existing curricula
• Faculty development needs
• Resource requirements
• Infrastructure planning