A philosophy and framework for building AI that earns its place in medicine.


Foreword — Why This Playbook Exists

AI in medicine is at a paradoxical moment.

We have more models, more papers, and more clearances than ever — yet remarkably few systems improve the lived experience of care. Much of the field remains trapped in technical optimization: better metrics, better demos, better benchmarks.

This Playbook proposes a different path: Patient-Centered AI.

Not as marketing, not as governance, and not as an abstract ethical guideline —

but as a practical philosophy that sees AI as a partner in clinical reasoning.

If AI is to shape the next decade of medicine, it must earn its place by reducing uncertainty, strengthening communication, and supporting the people doing the hard work of care.

This Playbook describes the foundation.


The Principles of Patient-Centered AI

Ten commitments that express what “good” AI looks like in clinical reality.

They are not technical requirements or regulatory checklists —

they are the minimum standard for AI that aspires to serve patients.


1. Clinical Relevance Over Technical Excellence

Accuracy is not the goal — clarity is.

AI matters only when it improves the course of care.