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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.