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/When AI Assumes Resources You Don’t Have

When AI Assumes Resources You Don’t Have

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The Default Environment

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The Maritime Stress Test

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Five Scenarios the Algorithm Gets Wrong

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The Evacuation Decision: What Algorithms Cannot Weigh

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Beyond the Ship: The Global Resource Gap

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Building AI That Knows Your Constraints

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What This Means for You

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Before You Turn the Page

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The Six-Platform Study — What I Found When I Tested Clinical AI

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The Failure Modes That Matter Most

In this chapter

When AI Assumes Resources You Don’t Have
The Default Environment
The Maritime Stress Test
Five Scenarios the Algorithm Gets Wrong
The Evacuation Decision: What Algorithms Cannot Weigh
Beyond the Ship: The Global Resource Gap
Building AI That Knows Your Constraints
What This Means for You
Before You Turn the Page