Description
Table of Contents
Preface
PART I – THEORETICAL FOUNDATIONS
Chapter 1. Introduction to Artificial Intelligence in Medicine
Chapter 2. Reasoning, Medical Data, and Elements of Formal Logic
Chapter 3. Machine Learning in Medicine
Chapter 4. Neural Networks and Deep Learning
Chapter 5. Natural Language Processing and Prompt Engineering
PART II – MEDICAL APPLICATIONS
Chapter 6. AI in Clinical Applications and Medical Decision Support
Chapter 7. AI in Medical Imaging
Chapter 8. Biological Signal Processing, AI, and IoT in Medicine
Chapter 9. AI in Surgical Specialties, Medical Robotics, Emergency Monitoring, Virtual Reality,and Telemedicine
Chapter 10. AI in Patient Care
Chapter 11. AI in Public Health and Epidemiology
PART III – IMPLEMENTATION, RISKS, AND IMPACT
Chapter 12. AI in Medical Education, Research, Healthcare Management, and Data Protection
Chapter 13. Limits of AI Systems
Chapter 14. Risks, Ethical Issues, and Legal Aspects of AI in Medicine
14.1 From AI Limitations to Real-World Risks
Glossary
References
