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Author:   Campion Quinn
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032016126

ISBN 10:   3032016126
Pages:   361
Publication Date:   27 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Part I: Foundations of Generative AI in Medicine.- Introduction to Generative AI in Clinical Practice.- Transformer Architectures & Self-Attention: How AI “Thinks”.- Core Technologies: NLP, Convolutional Neural Networks, and Retrieval-Augmented Generation.- Prompt Engineering for Clinicians: From Basics to Advanced Techniques.- Limitations, Bias, and Risk Management in AI Outputs.- Ethics, Accountability, and Human Oversight in Generative AI.- Specialty Deep Dives: Imaging, Patient Education, and RAG Applications.- Generative AI in Primary Care: Opportunities and Challenges.- Part II: Integrating AI into Clinical Workflows.- Securing Early Support: Stakeholder Mapping & Buy-In.- Anticipating Resistance: Safeguards, Errors, and Prompt Refinement.- Simulation Exercises: “You Are the CMIO” Role-Plays.- Feedback Loops & Continuous Learning: The AI Rounds Model.- Part III: Capstone & Application.- Mini AI Journal Club: Peer-Led Case Studies & Lessons Learned.- Execution, Analysis & Iteration: Prompt–Review–Revise with QI Methods.- Reporting, Scale-Up & Sustainability: Communicating and Governing AI Projects.- Part IV: Professional Growth & Lifelong AI Integration.- Next Steps—Professional Growth & Lifelong AI Integration.

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Author Information

Campion Quinn, MD, FACP, MHA, is a physician–educator and health-care leader whose career bridges clinical practice, academia, and medical innovation. Board-certified in four specialties and a Fellow of the American College of Physicians, he earned his MHA with a focus on health-care management and finance. As an Associate Professor of Medicine at the State University of New York, Dr. Quinn has guided medical students through complex diagnostic and treatment challenges. He has authored numerous journal articles and textbooks on clinical decision-making, medicolegal issues, and health-system management, and has published three other books on the use of AI in medicine. In industry roles at Johnson & Johnson, Sanofi-Aventis, and DBV Pharmaceuticals, he built educational programs and forged partnerships with key opinion leaders. Dr. Quinn later served as Medical Director and Chief Medical Officer for managed-care organizations, including GHI, USI Care Management, and Vytra Healthcare. Today, he consults independently with pharmaceutical and medical-education firms. His forthcoming textbook, Generative AI  for Medical Students, equips medical students with practical skills in generative AI, transforming tomorrow’s clinicians into confident, tech-savvy practitioners.

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