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Intelligence-Based Healthcare

An Essential Guide of Artificial Intelligence Concepts and Case Applications for Healthcare Leaders and Providers

  • 1st Edition - September 1, 2026
  • Latest edition
  • Editors: Anthony Chang, Alfonso Limon, Gregg M. Gascon
  • Language: English

Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider is an essential guide with an introd… Read more

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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.

Key features

  • Insights from a senior chief intelligence officer with focus on machine and deep learning as well as related technologies, adoption strategies, and human elements in the era of AI.
  • A balanced approach that connects AI concepts with real-world clinical applications in a non-technical, synergistic manner.
  • Systematic presentation of case studies to help all stakeholders grasp the depth of AI thinking—making this a first-of-its-kind resource for transparency and relatability in healthcare AI.

Readership

Researchers working across the biosciences in the fields of Bioinformatics, Computer Science, Biomedical and Computer Engineering

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: September 1, 2026
  • Language: English

About the editors

AC

Anthony Chang

Dr. Anthony C. Chang is an active pediatric cardiologist and currently serves as Chief Intelligence and Innovation Officer at Rady Children’s Health. A pioneer in healthcare AI, he founded the American Board of AI in Medicine (ABAIM) and chairs the Alliance of Centers of AI in Medicine (ACAIM).

Affiliations and expertise
Director, UChicago Medical Laboratories, Director, Renal Pathology and Renal Pathology Fellowship, Associate Director, Pathology Residency Program, University of Chicago, Chicago, Illinois, USA

AL

Alfonso Limon

Dr. Alfonso Limon is the Senior Data Scientist at Mi4 within Rady Children’s Health, specializing in AI and healthcare innovation. Previously served as a Principal at Oneirix Labs, a consulting firm specializing in computational intelligence for medical technology. Dr. Limon was Research Director at Intersection Medical (I-Med), where he developed decision-support algorithms for congestive heart failure, and previously managed the research team at Impedance Cardiology Systems. He serves as associate editor for Intelligence-Based Medicine, is a founding member of the American Board of AI in Medicine.

Affiliations and expertise
Principal, Oneirix Labs, USA

GG

Gregg M. Gascon

Dr. Gregg M. Gascon is a data science advisor at OhioHealth facilitating artificial intelligence implementation, evaluation, and optimization. Dr. Gascon is an assistant adjunct professor of Biomedical Informatics in The Ohio State University’s College of Medicine and serves on the American Statistical Association’s Scientific and Public Affairs Advisory Committee, the American Board of Artificial Intelligence in Medicine, and the International AI in Medicine Education Working Group at the University of Toronto.

Affiliations and expertise
OhioHealth, USA