Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider: Intelligence-Based Medicine: Subspecialty Series
Editat de Anthony Chang, Alfonso Limon, Gregg M. Gasconen Limba Engleză Paperback – iul 2026
- Provides access to research of frontline leaders of close to 100 centers of AI in medicine from around the world
- Couples concepts of artificial intelligence and applications of these AI tools in clinical medicine and healthcare in a way that is not overly technical
- Presents case studies in a systematic manner for all stakeholders to understand in-depth thinking, a first-of-its-kind book
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Specificații
ISBN-13: 9780443339332
ISBN-10: 0443339333
Pagini: 350
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Intelligence-Based Medicine: Subspecialty Series
ISBN-10: 0443339333
Pagini: 350
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Intelligence-Based Medicine: Subspecialty Series
Cuprins
1. Introduction
2. Brief History of Artificial Intelligence
3. Reflection and Update on AI in Medicine and Healthcare
4. Topics
5. Definitions
6. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised
7. Deep Learning Neural Nets and Transformers
8. Reinforcement Learning
9. Generative Artificial Intelligence
10. Natural Language Processing
11. Cognitive Computing
12. Robotic Process Automation
13. Regulation, Ethics, Adoption, and Legal (REAL) Issues
14. Implementation Science
15. Miscellaneous Topics
16. Why Adoption of AI in Healthcare Has Been Challenging
17. Framework for Successful Adoption of AI in Healthcare
18. How to Pursue a Basic to Advanced Education on Artificial Intelligence
19. How to Build Data, IT, and AI Infrastructure
20. How to Start a Center of Artificial Intelligence
21. Future of Artificial Intelligence and Health
22. Compendium
23. Glossary
24. Top 100 Articles of AI in Healthcare
25. Book Recommendations
2. Brief History of Artificial Intelligence
3. Reflection and Update on AI in Medicine and Healthcare
4. Topics
5. Definitions
6. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised
7. Deep Learning Neural Nets and Transformers
8. Reinforcement Learning
9. Generative Artificial Intelligence
10. Natural Language Processing
11. Cognitive Computing
12. Robotic Process Automation
13. Regulation, Ethics, Adoption, and Legal (REAL) Issues
14. Implementation Science
15. Miscellaneous Topics
16. Why Adoption of AI in Healthcare Has Been Challenging
17. Framework for Successful Adoption of AI in Healthcare
18. How to Pursue a Basic to Advanced Education on Artificial Intelligence
19. How to Build Data, IT, and AI Infrastructure
20. How to Start a Center of Artificial Intelligence
21. Future of Artificial Intelligence and Health
22. Compendium
23. Glossary
24. Top 100 Articles of AI in Healthcare
25. Book Recommendations