| | --- |
| | title: SkinProAI |
| | emoji: 🔬 |
| | colorFrom: blue |
| | colorTo: indigo |
| | sdk: docker |
| | app_port: 7860 |
| | pinned: false |
| | --- |
| | |
| | # SkinProAI |
| |
|
| | AI-assisted dermoscopic lesion analysis for clinical decision support. |
| |
|
| | ## Features |
| |
|
| | - **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 | |
| |
|
| | ## Usage |
| |
|
| | 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 |
| |
|
| | 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. |
| |
|
