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metadata
title: Medical Image AI Lab
emoji: πŸ”¬
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false

πŸ”¬ 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.

πŸŽ“ 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

πŸ“Š 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.