Fundamentals of AI for Medical Education, Research and Practice
Autor Sameer Mohommed Khanen Limba Engleză Paperback – 20 ian 2025
- 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
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Specificații
ISBN-13: 9780443335846
ISBN-10: 0443335842
Pagini: 582
Dimensiuni: 191 x 235 mm
Greutate: 1.18 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443335842
Pagini: 582
Dimensiuni: 191 x 235 mm
Greutate: 1.18 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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