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

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AI Literacy for Clinicians by Dr. Javier Rosas. A ship physician and medical AI trainer explains how LLMs work, why they fail, and what doctors must know before trusting AI in clinical practice.

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AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm13 chapters

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  1. What Happens When You Talk to AI

  2. Why AI Sounds Confident But Gets It Wrong

  3. Where the Training Data Came From (And Why That Matters)

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

  5. When AI Assumes Resources You Don’t Have

  6. The Failure Modes That Matter Most

  7. A Clinician’s Framework for Evaluating AI Tools

  8. Prompting Like a Clinician

  9. The Regulatory Landscape — What Clinicians Need to Know

  10. The Future of Clinical AI — From the Edge of Medicine

  11. Appendix A: Glossary of AI Terms for Clinicians

  12. Appendix B: AI Evaluation Checklist for Clinicians

  13. Appendix C: Prompting Templates for Common Clinical Scenarios