Part I: History and Basic Overview of AI and ML 1. Historical Background of AI and ML 2. Introduction to AI and ML Techniques 3. Supervised Learning 4. Unsupervised Learning 5. Deep Learning
Part II: Applications of AI and ML in Healthcare 6. Primary Care 7. Ophthalmology 8. Oncology 9. Radiology 10. Emergency Medicine 11. Intensive Care Unit 12. Cardiovascular Medicine and Surgery 13. Data Extraction and Quality Control in the Electronic Health Record
Part III: The Future of Healthcare with AI 14. Wearable Technology 15. Software for Automated Interpretation of Medical Imaging 16. Software for Clinical Decision Support 17. The Impact of AI on Healthcare Finance
Part IV: Challenges to Adopting AI in Healthcare 18. Ethical Challenges 19. Legal Processes Required to Implement AI in Healthcare 20. Gaining Patients' Trust in AI for their Healthcare