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README.md

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# Explore AI Diagnostic Performance
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An interactive educational tool for teaching clinicians how to interpret AI diagnostic metrics using a chest X-ray pneumonia detection example.
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## Overview
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This tutorial helps clinicians understand:
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- **Confusion Matrix**: True positives, false positives, true negatives, false negatives
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- **Key Metrics**: Sensitivity (recall), specificity, precision (PPV), accuracy, F1 score
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- **ROC and PR Curves**: How threshold selection affects the tradeoff between metrics
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- **Prevalence Effects**: Why the same AI performs differently in high vs. low prevalence settings
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## Features
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- Interactive threshold slider to explore metric tradeoffs
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- Three clinical scenarios: Severe Cases, Subtle Cases, and Low Prevalence
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- Toggle between ROC and Precision-Recall curves
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- Adjustable prevalence slider to demonstrate Bayesian effects on precision
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- Clinical scenario questions with expandable answers
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## Usage
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Open `index.html` in a web browser. No build step or server required.
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## Authors
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- Vishnu Ravi, MD
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- Alaa Youssef, PhD
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- Aydin Zahedivash, MD
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- Gabriel Tse, MD
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- Jonathan Chen, MD, PhD
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## License
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Stanford Medicine - AI in Medical Education
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## Links
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- [AI in Medical Education at Stanford Medicine](https://med.stanford.edu/ai-in-meded.html)

css/styles.css

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.site-footer {
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text-align: center;
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padding: 20px;
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margin-top: 10px;
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}
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.site-footer a {
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color: rgba(255, 255, 255, 0.8);
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text-decoration: none;
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font-size: 0.9em;
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display: inline-flex;
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align-items: center;
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gap: 6px;
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}
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.site-footer a:hover {
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color: white;
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text-decoration: underline;
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}
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.container {
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max-width: 1400px;
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margin: 0 auto;

index.html

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</div>
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<footer class="site-footer">
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<a href="https://github.com/stanfordmed/aimeded" target="_blank">
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<svg xmlns="http://www.w3.org/2000/svg" width="18" height="18" viewBox="0 0 24 24" fill="currentColor"><path d="M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387.599.111.793-.261.793-.577v-2.234c-3.338.726-4.033-1.416-4.033-1.416-.546-1.387-1.333-1.756-1.333-1.756-1.089-.745.083-.729.083-.729 1.205.084 1.839 1.237 1.839 1.237 1.07 1.834 2.807 1.304 3.492.997.107-.775.418-1.305.762-1.604-2.665-.305-5.467-1.334-5.467-5.931 0-1.311.469-2.381 1.236-3.221-.124-.303-.535-1.524.117-3.176 0 0 1.008-.322 3.301 1.23.957-.266 1.983-.399 3.003-.404 1.02.005 2.047.138 3.006.404 2.291-1.552 3.297-1.23 3.297-1.23.653 1.653.242 2.874.118 3.176.77.84 1.235 1.911 1.235 3.221 0 4.609-2.807 5.624-5.479 5.921.43.372.823 1.102.823 2.222v3.293c0 .319.192.694.801.576 4.765-1.589 8.199-6.086 8.199-11.386 0-6.627-5.373-12-12-12z"/></svg>
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View on GitHub
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</a>
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</footer>
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<script src="js/script.js"></script>
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</body>
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</html>

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