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A newer version of the Gradio SDK is available:
6.1.0
metadata
title: Medical Image AI Lab
emoji: π¬
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
π¬ 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.
π 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
π 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)
β οΈ Disclaimer
For educational and research purposes ONLY. NOT for medical diagnosis.
Always consult a board-certified dermatologist for actual medical concerns.