Full Description
The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.
This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.
The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.
Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.
The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.
Contents
1. Introduction to Artificial Intelligence in Healthcare
2. Fundamentals of Artificial Intelligence: Machine Learning, Deep Learning, and Natural Language Processing
3. Artificial Intelligence in Diagnostics
4. Personalized Medicine and Clinical Decision Support with Artificial Intelligence
5. Artificial Intelligence in Diabetes and Endocrinology
6. Artificial Intelligence in Cardiovascular Diseases
7. Artificial Intelligence in Renal Diseases
8. Artificial Intelligence in Ophthalmology
9. Artificial Intelligence in Oncology
10. Artificial Intelligence in Gastroenterology
11. Artificial Intelligence in Neurology
12. Artificial Intelligence in Surgery
13. Artificial Intelligence in Obstetrics and Gynecology
14. Artificial Intelligence in Clinical Pharmacology and Therapeutic Drug Monitoring
15. Artificial Intelligence in Pediatrics
16. Artificial Intelligence in Biostatistics for Clinical Practice
17. Population Health Management with Artificial Intelligence
18. Artificial Intelligence in Enhancing Patient Education and Engagement
19. Legal, Ethical, and Regulatory Considerations for Artificial Intelligence in Healthcare
20. Implementing Artificial Intelligence in Clinical Practice
21. Future Directions and Innovations in Artificial Intelligence for Medicine
22. Case Studies and Real-World Applications of Artificial Intelligence in Healthcare
23. Self-assessment - Multiple-Choice Questions (MCQs)
