Intelligence-Based Healthcare

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

AvAnthony Chang,Alfonso Limon

Häftad, Engelska, 2026

Del i serien Intelligence-Based Medicine: Subspecialty Series

1 495 kr

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Beskrivning

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.

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.

Produktinformation

Utgivningsdatum:2026-09-01
Mått:191 x 235 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Serie:Intelligence-Based Medicine: Subspecialty Series
Antal sidor:350
Förlag:Elsevier Science
ISBN:9780443339332

Utforska kategorier

Biologi inom Naturvetenskap och teknik

Mer om författaren

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). 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.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.

Innehållsförteckning

1. Introduction2. Brief History of Artificial Intelligence3. Reflection and Update on AI in Medicine and Healthcare4. Topics5. Definitions6. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised7. Deep Learning Neural Nets and Transformers8. Reinforcement Learning9. Generative Artificial Intelligence10. Natural Language Processing11. Cognitive Computing12. Robotic Process Automation13. Regulation, Ethics, Adoption, and Legal (REAL) Issues14. Implementation Science15. Miscellaneous Topics16. Why Adoption of AI in Healthcare Has Been Challenging17. Framework for Successful Adoption of AI in Healthcare18. How to Pursue a Basic to Advanced Education on Artificial Intelligence19. How to Build Data, IT, and AI Infrastructure20. How to Start a Center of Artificial Intelligence21. Future of Artificial Intelligence and Health22. Compendium23. Glossary24. Top 100 Articles of AI in Healthcare25. Book Recommendations