Sameer Mohommed Khan,
Sameer Mohommed, MBBS, MD (Assistant Professor, College of Medicine, University of Bisha, Saudi Arabia) Khan
Elsevier Science
e druk, 2025
9780443335846
Fundamentals of AI for Medical Education, Research and Practice
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2025
ISBN13: 9780443335846
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
Fundamentals of AI for Medical Education, Research and Practice provides a comprehensive introduction on all aspects of AI application in healthcare, ranging from medical education to diagnostic medicine. The book's chapters are grouped into six sections: an introduction to AI in healthcare, AI in medical education, AI healthcare in research, AI in clinical practice, and future directions and challenges, concluding with practical application of AI tools in health care. Written by an experienced physiologist and medical educationist who is actively involved in all aspects of teaching and learning, this book will prove to be immense benefit for medical researchers, practicing clinicians, academicians and medical students at all levels.
Specificaties
Inhoudsopgave
Part I: Introduction to AI in Healthcare<br>1. Timeline of Artificial Intelligence (AI)<br>2. Understanding Artificial Intelligence (AI) in Health care and education<br>3. Overview of AI Technologies and Their Impact on Healthcare<br>4. Ethical and Regulatory Considerations in AI Adoption in Healthcare<br><br>Part II: AI in Medical Education<br>5. Integration of AI into Medical Curriculum: Challenges and Opportunities<br>6. AI-enabled Simulation and Virtual Learning Environments<br>7. AI-based Personalized Learning in Medical Education<br>8. Assessment with AI in Medical Training<br><br>Part III: AI in Healthcare Research<br>9. AI in Clinical Research: Transforming Methodologies and Discoveries<br>10. Data Science and AI Techniques in Healthcare Research<br>11. AI-driven Drug Discovery and Development<br>12. Predictive Analytics and AI in Epidemiological Studies<br><br>Part IV: AI in Clinical Practice<br>13. AI in Diagnostics: Enhancing Accuracy and Efficiency<br>14. AI-enabled Decision Support Systems in Clinical Practice<br>15. Robotics and AI-assisted Surgery: Advancements and Applications<br>16. Personalized Medicine and AI-driven Treatment Plans<br><br>Part V: Future Directions and Challenges<br>17. AI in Telemedicine and Remote Patient Monitoring<br>18. Emerging Trends in AI in Healthcare: Innovations and Opportunities<br>19. Challenges and Limitations of AI Adoption in Healthcare<br>20. Training the Future Healthcare Workforce for AI Integration<br><br>Part VI: Case Studies and Practical Applications<br>21. Case Studies: Real-world Examples of AI Implementation in Healthcare<br>22. Practical Exercises: Hands-on Activities for Applying AI Concepts in Healthcare