README.md

---
title: Medical Image AI Lab
emoji: 🔬
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
---

# 🔬 Medical Image AI Lab

**An educational demo for ML/AI students, researchers, and educators**

Learn how computer vision models analyze and misclassify real dermoscopy images.

## 🎓 Educational Purpose

This interactive demo lets you explore:
- How ML models handle ambiguous medical images
- The difference between confidence and correctness  
- Why medical AI is challenging
- Dataset bias and class imbalance effects
- Model uncertainty and calibration

## 📊 Model Details

- **Architecture**: Vision Transformer (ViT) with BiomedCLIP weights
- **Dataset**: HAM10000 (10,015 dermoscopy images)
- **Test Accuracy**: 51.16% (3.6x better than random guessing)

## ⚠️ Disclaimer

**For educational and research purposes ONLY. NOT for medical diagnosis.**

Always consult a board-certified dermatologist for actual medical concerns.