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Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine
- 1st Edition - March 1, 2026
- Editors: Anthony Chang, Alfonso Limon
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 2 1 3 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 2 1 4 - 1
"Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicane" is an essential guide with an introduction to data science and artificial intelligence to provid… Read more
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Request a sales quote"Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicane" 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 Medicane" 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.
• designed to stimulate and enlighten pediatric and neonatal practitioners by explaining the essential concepts of AI simplistically but substantively with accompanying commentaries from authors of all pediatric subspecialties from pediatric centers from all over the world
• gives the reader the opportunity to learn about artificial intelligence in both concept and real-world application as well with the commentaries that will render the sometimes enigmatic artificial intelligence to be more relatable and transparent
• contributed by authors of all pediatric subspecialties from pediatric centers from all over the world
• gives the reader the opportunity to learn about artificial intelligence in both concept and real-world application as well with the commentaries that will render the sometimes enigmatic artificial intelligence to be more relatable and transparent
• contributed by authors of all pediatric subspecialties from pediatric centers from all over the world
practitioner e.g. clinical practitioner, physician, practicing engineer or psychologist
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
- No. of pages: 350
- Language: English
- Edition: 1
- Published: March 1, 2026
- Imprint: Academic Press
- Paperback ISBN: 9780443342134
- eBook ISBN: 9780443342141
AC
Anthony Chang
Anthony Chang, MD, is a Professor, Department of Pathology, University of Chicago with a specialty in renal pathology. His research interests include the role of B and plasma cells in lupus nephritis and transplant rejection. He is past president of the Renal Pathology Society (2017) and Chicago Pathology Society (2011-2013). He has taught more than 30 educational courses at the annual meetings for the American Society Clinical Pathology, College of American Pathologists, US & Canadian Academy of Pathology, American Society of Nephrology, American College of Rheumatology, and American Urological Association.
Affiliations and expertise
Director, UChicago Medical Laboratories, Director, Renal Pathology and Renal Pathology Fellowship, Associate Director, Pathology Residency Program, University of Chicago, Chicago, IllinoisAL
Alfonso Limon
Alfonso Limon, Ph.D., is a principal at Oneirix, a consulting company developing market-leading technologies in computational intelligence for med-tech. Before joining Oneirix, Dr. Limon served as Director of Research at Intersection Medical, leading the development of algorithms for decision support systems to manage congestive heart failure. Before his work in industry, Dr. Limon was a Visiting Professor of Mathematics at Pomona College and a post-doctoral fellow at Harvey Mudd College in the math department and holds several impedance spectroscopy patents. Alfonso is part of the American Board of Artificial Intelligence in Medicine, an Associate Editor of Intelligence-Based Medicine, and the Computational Science Research Center Board Chair at SDSU.
Affiliations and expertise
Principal, Oneirix Labs, USA