Fundamentals of AI for Medical Education, Research and Practice

Part I: Introduction to AI in Healthcare1. Timeline of Artificial Intelligence (AI)2. Understanding Artificial Intelligence (AI) in Health care and education3. Overview of AI Technologies and Their Impact on Healthcare4. Ethical and Regulatory Considerations in AI Adoption in HealthcarePart II: AI in Medical Education5. Integration of AI into Medical Curriculum: Challenges and Opportunities6. AI-enabled Simulation and Virtual Learning Environments7. AI-based Personalized Learning in Medical Education8. Assessment with AI in Medical TrainingPart III: AI in Healthcare Research9. AI in Clinical Research: Transforming Methodologies and Discoveries10. Data Science and AI Techniques in Healthcare Research11. AI-driven Drug Discovery and Development12. Predictive Analytics and AI in Epidemiological StudiesPart IV: AI in Clinical Practice13. AI in Diagnostics: Enhancing Accuracy and Efficiency14. AI-enabled Decision Support Systems in Clinical Practice15. Robotics and AI-assisted Surgery: Advancements and Applications16. Personalized Medicine and AI-driven Treatment PlansPart V: Future Directions and Challenges17. AI in Telemedicine and Remote Patient Monitoring18. Emerging Trends in AI in Healthcare: Innovations and Opportunities19. Challenges and Limitations of AI Adoption in Healthcare20. Training the Future Healthcare Workforce for AI IntegrationPart VI: Case Studies and Practical Applications21. Case Studies: Real-world Examples of AI Implementation in Healthcare22. Practical Exercises: Hands-on Activities for Applying AI Concepts in Healthcare