Intelligence-Based Healthcare : An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider (Intelligence-based Medicine: Subspecialty Series)

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Intelligence-Based Healthcare : An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider (Intelligence-based Medicine: Subspecialty Series)

Chang, Anthony (EDT)/ Limon, Alfonso (EDT)/ Gascon, Gregg M. (EDT)

ウェブストア価格 ¥31,468（本体¥28,608）
Academic Press Inc（2026/03発売）
外貨定価 US$ 150.00
ポイント 286pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 350 p.
言語 ENG
商品コード 9780443339332

Full Description

Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider is an essential guide with an introduction to data science and artificial intelligence to provide the reader with a quick orientation and education on AI in healthcare. This book also offers a framework for success in planning, deployment, implementation, and evaluation of AI models in healthcare. In 25 chapters, Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider both introduces the reader to artificial in medicine and healthcare, and AI concepts. To render AI more understandable and relatable to the reader, case studies are used as a learning strategy to illustrate the aforementioned AI concepts. The cases implement AI in solving a very specific problem, clinical or operational, in clinical medicine or healthcare. Both cases that illustrate successful implementation of AI as unsuccessful application cases with important lessons learned are included. Each chapter can be read independently and therefore the book is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of artificial intelligence in medicine and healthcare, and all those who wish to broaden their knowledge in the allied field.

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