Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine
- 1st Edition - January 1, 2027
- Latest edition
- Editors: Anthony Chang, Alfonso Limon
- Language: English
Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine is an essential guide with an introduction to data science and artificial intelligence to provid… Read more
Description
Description
Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine 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 vastly improves the speed of adoption of AI in pediatric and neonatal healthcare by providing a framework of AI deployment in children and healthcare. In addition to a large section on the principles and theories of artificial intelligence as well as its application in a number of pediatric subspecialties, the book will have about 50 commentaries that all have the same structure The book is presented in a systematic manner for all clinicians to understand the in-depth thinking of the leaders in the pediatric AI domain from an international perspective. Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine 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. It also offers a framework for success in planning, deployment, implementation, and evaluation of AI models in healthcare. In addition, current state of the art of pediatric subspecialties will be presented with future directions to guide the pediatric and neonatal clinicians. Finally, a colorful collection of commentaries by leaders of AI use in children’s health is inserted throughout the book.
Key features
Key features
- Designed to stimulate and enlighten pediatric and neonatal practitioners by explaining the essential concepts of AI simplistically, but substantively, with accompanying commentaries
- Gives the reader the opportunity to learn about artificial intelligence in both concept and real-world application
- Contributed to by authors in all pediatric and neonatal subspecialties, and from pediatric centers all over the world
Readership
Readership
practitioner e.g. clinical practitioner, physician, practicing engineer or psychologist
Table of contents
Table of contents
A. Introduction
1. Brief History of Artificial Intelligence
2. Reflection and Update on AI in Medicine and Healthcare
B. Topics
3. Definitions
4. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised
5. Deep Learning Neural Nets and Transformers
6. Reinforcement Learning
7. Generative Artificial Intelligence
8. Natural Language Processing
9. Cognitive Computing
10. Robotic Process Automation
11. Regulation, Ethics, Adoption, and Legal (REAL) Issues
12. Implementation Science
C. Miscellaneous Topics
13. Why Adoption of AI in Healthcare Has Been Challenging
14. Framework for Successful Adoption of AI in Healthcare
15. How to Pursue a Basic to Advanced Education on Artificial Intelligence
16. How to Build Data, IT, and AI Infrastructure
17. How to Start a Center of Artificial Intelligence
18. Future of Artificial Intelligence and Health
D. Pediatric Subspecialties (25)
E. Compendium Glossary Top 100 Articles of AI in Healthcare Book Recommendations Video Recommendations
1. Brief History of Artificial Intelligence
2. Reflection and Update on AI in Medicine and Healthcare
B. Topics
3. Definitions
4. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised
5. Deep Learning Neural Nets and Transformers
6. Reinforcement Learning
7. Generative Artificial Intelligence
8. Natural Language Processing
9. Cognitive Computing
10. Robotic Process Automation
11. Regulation, Ethics, Adoption, and Legal (REAL) Issues
12. Implementation Science
C. Miscellaneous Topics
13. Why Adoption of AI in Healthcare Has Been Challenging
14. Framework for Successful Adoption of AI in Healthcare
15. How to Pursue a Basic to Advanced Education on Artificial Intelligence
16. How to Build Data, IT, and AI Infrastructure
17. How to Start a Center of Artificial Intelligence
18. Future of Artificial Intelligence and Health
D. Pediatric Subspecialties (25)
E. Compendium Glossary Top 100 Articles of AI in Healthcare Book Recommendations Video Recommendations
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 1, 2027
- Language: English
About the editors
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, USAAL
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