Interactive learning modules from the Stanford Medicine AI in Medical Education program. Deployed to GitHub Pages at stanfordmed.github.io/aimeded. If you're an educator or have ideas for how to make these modules better, please make a pull request and we'd love to hear from you.
An interactive tool for teaching clinicians how to interpret AI diagnostic metrics using a chest X-ray pneumonia detection example. Features an adjustable threshold slider, ROC and Precision-Recall curves, prevalence effects, and clinical scenario questions.
Explore data security fundamentals, HIPAA regulations, and responsible use of AI tools in clinical settings through interactive scenarios, drag-and-drop exercises, and knowledge checks.
Open AIEvaluation/index.html directly in a browser. No build step needed.
cd "Data Security Module v3"
npm install
npm run devPushing to main triggers a GitHub Actions workflow that builds the Data Security module, assembles both modules with the landing page, and deploys to GitHub Pages.