Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine

Nyhet

Häftad, Engelska, 2026

1 849 kr

Kommande

Artificial Intelligence and Clinical Cognition in Pediatric and Neonatal Medicine serves as a comprehensive introduction to the role of AI and data science in pediatric and neonatal healthcare. Designed for clinicians and healthcare professionals, this guide offers a clear orientation on artificial intelligence, aiming to accelerate its adoption in clinical practice. It presents a systematic framework for understanding, planning, and implementing AI solutions, covering essential principles and current applications. The book’s international perspective ensures readers gain insights from global leaders in pediatric AI, making it an indispensable reference for those seeking to integrate advanced technologies into children’s healthcare.

Users will find approximately 50 structured commentaries from experts, providing diverse viewpoints on the deployment and evaluation of AI in pediatric subspecialties. Other sections give practical guidance for successful adoption, including strategies for planning and evaluating AI models. The text also highlights cutting-edge developments and future directions in pediatric medicine, ensuring clinicians stay informed about emerging trends. A rich collection of commentaries adds depth and color, presenting real-world experiences and thought leadership from pioneers in the field of pediatric artificial intelligence.

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

Produktinformation

Utgivningsdatum2026-11-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
SerieIntelligence-Based Medicine: Subspecialty Series
Antal sidor350
FörlagElsevier Science
ISBN9780443342134

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Biologi inom Naturvetenskap och teknik

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.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.

A. Introduction1. Brief History of Artificial Intelligence2. Reflection and Update on AI in Medicine and HealthcareB. Topics3. Definitions4. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised5. Deep Learning Neural Nets and Transformers6. Reinforcement Learning7. Generative Artificial Intelligence8. Natural Language Processing9. Cognitive Computing10. Robotic Process Automation11. Regulation, Ethics, Adoption, and Legal (REAL) Issues12. Implementation ScienceC. Miscellaneous Topics13. Why Adoption of AI in Healthcare Has Been Challenging14. Framework for Successful Adoption of AI in Healthcare15. How to Pursue a Basic to Advanced Education on Artificial Intelligence16. How to Build Data, IT, and AI Infrastructure17. How to Start a Center of Artificial Intelligence18. Future of Artificial Intelligence and HealthD. Pediatric Subspecialties (25)E. Compendium Glossary Top 100 Articles of AI in Healthcare Book Recommendations Video Recommendations