| --- |
| title: SkinProAI |
| emoji: 🔬 |
| colorFrom: blue |
| colorTo: indigo |
| sdk: docker |
| app_port: 7860 |
| pinned: false |
| --- |
| |
| # SkinProAI |
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| AI-assisted dermoscopic lesion analysis for clinical decision support. |
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| ## Features |
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| - **Patient management** — create and select patient profiles |
| - **Image analysis** — upload dermoscopic images for automated assessment via MedGemma visual examination, MONET feature extraction, and ConvNeXt classification |
| - **Temporal comparison** — sequential images are automatically compared to detect change over time |
| - **Grad-CAM visualisation** — attention maps highlight regions driving the classification |
| - **Persistent chat history** — full analysis cascade is stored and replayed on reload |
|
|
| ## Architecture |
|
|
| | Layer | Technology | |
| |-------|-----------| |
| | Frontend | React 18 + TypeScript (Vite) | |
| | Backend | FastAPI + uvicorn | |
| | Vision-language model | MedGemma (Google) via Hugging Face | |
| | Classifier | ConvNeXt fine-tuned on ISIC HAM10000 | |
| | Feature extraction | MONET skin concept probes | |
| | Explainability | Grad-CAM | |
|
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| ## Usage |
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| 1. Open the app and create a patient record |
| 2. Click the patient card to open the chat |
| 3. Attach a dermoscopic image and send — analysis runs automatically |
| 4. Upload further images for the same patient to trigger temporal comparison |
| 5. Ask follow-up questions in text to query the AI about the findings |
|
|
| ## Disclaimer |
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| SkinProAI is a research prototype intended for educational and investigational use only. It is **not** a certified medical device and must not be used as a substitute for professional clinical judgement. |
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