Arman Kilic, MD is Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence at the Medical University of South Carolina. He is the John Kratz Endowed Chair in Cardiac Surgery and has published over 350 peer reviewed manuscripts, has served as Principal Investigator on several clinical trials, and is a regularly invited national and international speaker on AI and machine learning in cardiovascular healthcare. He is a member of multiple editorial boards and has received several major extramural grants in AI.

• Part I: History and Basic Overview of AI and ML1. Historical Background of AI and ML2. Introduction to AI and ML Techniques3. Supervised Learning4. Unsupervised Learning5. Deep LearningPart II: Applications of AI and ML in Healthcare6. Primary Care7. Ophthalmology8. Oncology9. Radiology10. Emergency Medicine11. Intensive Care Unit12. Cardiovascular Medicine and Surgery13. Data Extraction and Quality Control in the Electronic Health RecordPart III: The Future of Healthcare with AI14. Wearable Technology15. Software for Automated Interpretation of Medical Imaging16. Software for Clinical Decision Support17. The Impact of AI on Healthcare FinancePart IV: Challenges to Adopting AI in Healthcare18. Ethical Challenges19. Legal Processes Required to Implement AI in Healthcare20. Gaining Patients’ Trust in AI for their Healthcare

Arman Kilic, MD is Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence at the Medical University of South Carolina. He is the John Kratz Endowed Chair in Cardiac Surgery and has published over 350 peer reviewed manuscripts, has served as Principal Investigator on several clinical trials, and is a regularly invited national and international speaker on AI and machine learning in cardiovascular healthcare. He is a member of multiple editorial boards and has received several major extramural grants in AI.

• Part I: History and Basic Overview of AI and ML1. Historical Background of AI and ML2. Introduction to AI and ML Techniques3. Supervised Learning4. Unsupervised Learning5. Deep LearningPart II: Applications of AI and ML in Healthcare6. Primary Care7. Ophthalmology8. Oncology9. Radiology10. Emergency Medicine11. Intensive Care Unit12. Cardiovascular Medicine and Surgery13. Data Extraction and Quality Control in the Electronic Health RecordPart III: The Future of Healthcare with AI14. Wearable Technology15. Software for Automated Interpretation of Medical Imaging16. Software for Clinical Decision Support17. The Impact of AI on Healthcare FinancePart IV: Challenges to Adopting AI in Healthcare18. Ethical Challenges19. Legal Processes Required to Implement AI in Healthcare20. Gaining Patients’ Trust in AI for their Healthcare

Arman Kilic, MD is Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence at the Medical University of South Carolina. He is the John Kratz Endowed Chair in Cardiac Surgery and has published over 350 peer reviewed manuscripts, has served as Principal Investigator on several clinical trials, and is a regularly invited national and international speaker on AI and machine learning in cardiovascular healthcare. He is a member of multiple editorial boards and has received several major extramural grants in AI.

• Part I: History and Basic Overview of AI and ML1. Historical Background of AI and ML2. Introduction to AI and ML Techniques3. Supervised Learning4. Unsupervised Learning5. Deep LearningPart II: Applications of AI and ML in Healthcare6. Primary Care7. Ophthalmology8. Oncology9. Radiology10. Emergency Medicine11. Intensive Care Unit12. Cardiovascular Medicine and Surgery13. Data Extraction and Quality Control in the Electronic Health RecordPart III: The Future of Healthcare with AI14. Wearable Technology15. Software for Automated Interpretation of Medical Imaging16. Software for Clinical Decision Support17. The Impact of AI on Healthcare FinancePart IV: Challenges to Adopting AI in Healthcare18. Ethical Challenges19. Legal Processes Required to Implement AI in Healthcare20. Gaining Patients’ Trust in AI for their Healthcare