This book explores how AI can enhance human judgement in medicine. Artificial intelligence now influences every level of clinical care. Physicians use predictive models to identify risk, natural language systems to document visits, and image recognition to detect disease. Yet medical judgment remains the foundation of effective practice.

The Augmented Clinician explains how AI strengthens rather than replaces that judgment. The book explores how physicians think, why diagnostic errors persist, and how algorithms enhance perception, accuracy, and decision quality. It teaches clinicians to interpret AI outputs responsibly and integrate them into care while preserving empathy and authority.

This book connects cognitive science, clinical reasoning, and real-world AI applications. It provides a practical framework for clinicians who aim to collaborate intelligently and safely with machine systems.

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 adjunct clinical professor at teh State University of New York, Downstate Medical College, 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.