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

Course overview

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.

13 chapters
Begin reading
The Book

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

Begin
  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