This book challenges the way we think about dentistry - and how we think about thinking itself. At its core, it presents a structured model for clinical decision-making that draws from dentistry, decision theory, and artificial intelligence. But it does more than that: it asks what it really means to make a "good" decision in a medical context, and what kind of system - social, technical, economic - supports or distorts those decisions
Rather than listing treatments or summarizing studies, this book takes a step back and asks: How are treatment decisions actually made - and how can we improve that process structurally?
The approach is rooted in real-world dental practice, but its implications are much broader. The author proposes a conceptual framework that separates diagnosis, decision logic, and communication - allowing for more transparency, reproducibility, and patient-centered care. Along the way, it shows how AI is not merely a tool, but a mirror: it reflects the implicit structures in our knowledge and workflows, and gives us the opportunity to make them visible and consciously designable.
Key themes:Clinical decision-making as a structured process
Limitations of intuition and experience in dental planning
The role of AI as a socio-technical-economic system
Separation of knowledge, logic, and communication
Why statistical reasoning (e.g., probabilities, confidence intervals) alone is insufficient
How human expertise and intelligent systems can complement each other
Written for dental professionals, researchers, and forward-thinking practitioners, this book offers a new lens on dental decision-making - and an invitation to rethink the foundations of medical logic in the 21st century
More than a dental book
A new theory of how we make medical decisions
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