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 Future of Clinical AI — From the Edge of Medicine

The Future of Clinical AI — From the Edge of Medicine

https://leanpub.com/AiforDoctors

The 80/20 Problem

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Architecture Is the Safety Layer

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The Reproducibility Problem

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What I Learned From Breaking Things

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The Physician’s Role in Building Better AI

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From the Edge of Medicine

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A Personal Note

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The Regulatory Landscape — What Clinicians Need to Know

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Appendix A: Glossary of AI Terms for Clinicians

In this chapter

The Future of Clinical AI — From the Edge of Medicine
The 80/20 Problem
Architecture Is the Safety Layer
The Reproducibility Problem
What I Learned From Breaking Things
The Physician’s Role in Building Better AI
From the Edge of Medicine
A Personal Note