AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm

Javier Rosas

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Table of Contents

AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm

What Happens When You Talk to AI
Why AI Sounds Confident But Gets It Wrong
Where the Training Data Came From (And Why That Matters)
The Six-Platform Study — What I Found When I Tested Clinical AI
When AI Assumes Resources You Don’t Have
The Failure Modes That Matter Most
A Clinician’s Framework for Evaluating AI Tools
Prompting Like a Clinician
The Regulatory Landscape — What Clinicians Need to Know
The Future of Clinical AI — From the Edge of Medicine
Appendix A: Glossary of AI Terms for Clinicians
Appendix B: AI Evaluation Checklist for Clinicians
- Regulatory Status Quick Check
- Documentation Template
Appendix C: Prompting Templates for Common Clinical Scenarios

AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm/The Regulatory Landscape — What Clinicians Need to Know

The Regulatory Landscape — What Clinicians Need to Know

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What the FDA Has Done So Far

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The CDS Exemption — The Most Important Regulatory Concept You May Not Know

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The Gap Between Clearance and Safety

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Who Is Liable When AI Is Wrong?

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What Is Happening in Europe

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The American Patchwork

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What Clinicians Should Actually Do

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Before You Turn the Page

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Prompting Like a Clinician

Up next

The Future of Clinical AI — From the Edge of Medicine

In this chapter

The Regulatory Landscape — What Clinicians Need to Know
What the FDA Has Done So Far
The CDS Exemption — The Most Important Regulatory Concept You May Not Know
The Gap Between Clearance and Safety
Who Is Liable When AI Is Wrong?
What Is Happening in Europe
The American Patchwork
What Clinicians Should Actually Do
Before You Turn the Page