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Elsevier

Fundamentals of AI for Medical Education, Research and Practice

  • 1st Edition - January 20, 2025
  • Latest edition
  • Author: Sameer Mohommed Khan
  • Language: English

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… Read more

Description

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.

Key features

  • Introduces the basic aspects of artificial intelligence to readers
  • Presents practical applications of AI to enhance the quality of healthcare
  • Encompasses wide range of topics in all the aspects of healthcare
  • Immensely useful to get an overall idea about AI and what to expect from it in the future

Readership

Medical Researchers, Practicing Clinicians, Acamedicians and Medical Students of all levels

Table of contents

Part I: Introduction to AI in Healthcare

1. Timeline of Artificial Intelligence (AI)

2. Understanding Artificial Intelligence (AI) in Health care and education

3. Overview of AI Technologies and Their Impact on Healthcare

4. Ethical and Regulatory Considerations in AI Adoption in Healthcare

Part II: AI in Medical Education

5. Integration of AI into Medical Curriculum: Challenges and Opportunities

6. AI-enabled Simulation and Virtual Learning Environments

7. AI-based Personalized Learning in Medical Education

8. Assessment with AI in Medical Training

Part III: AI in Healthcare Research

9. AI in Clinical Research: Transforming Methodologies and Discoveries

10. Data Science and AI Techniques in Healthcare Research

11. AI-driven Drug Discovery and Development

12. Predictive Analytics and AI in Epidemiological Studies

Part IV: AI in Clinical Practice

13. AI in Diagnostics: Enhancing Accuracy and Efficiency

14. AI-enabled Decision Support Systems in Clinical Practice

15. Robotics and AI-assisted Surgery: Advancements and Applications

16. Personalized Medicine and AI-driven Treatment Plans

Part V: Future Directions and Challenges

17. AI in Telemedicine and Remote Patient Monitoring

18. Emerging Trends in AI in Healthcare: Innovations and Opportunities

19. Challenges and Limitations of AI Adoption in Healthcare

20. Training the Future Healthcare Workforce for AI Integration

Part VI: Case Studies and Practical Applications

21. Case Studies: Real-world Examples of AI Implementation in Healthcare

22. Practical Exercises: Hands-on Activities for Applying AI Concepts in Healthcare

Product details

  • Edition: 1
  • Latest edition
  • Published: January 20, 2025
  • Language: English

About the author

SK

Sameer Mohommed Khan

Dr. Sameer Khan is an esteemed Assistant Professor within the Department of Physiology at the College of Medicine, University of Bisha, in Saudi Arabia. With a distinguished career spanning over 12 years, Dr. Khan has been dedicated to enriching the minds of both undergraduate and postgraduate students through his expertise in human physiology and medical education, where he specializes in interprofessional education with vast experience in both traditional and outcome-based curriculum. He has been a part of various college committees, actively involved in curriculum planning, designing, and mapping. Recognized for his academic excellence, Dr. Khan was honored as the most outgoing postgraduate and bestowed with a silver medal for his exceptional performance by the Department of Physiology, KMC Mangalore. Dr. Khan's commitment to advancing medical knowledge extends beyond the classroom with publications of “Practical Physiology: A New Approach” (Jaypee) and “Fundamentals of AI for Medical Education, Research and Practice” (Elsevier).

Affiliations and expertise
Assistant Professor, College of Medicine, University of Bisha, Saudi Arabia

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