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title: Cornea AI Pentacam Analyzer | |
emoji: 👁️ | |
colorFrom: blue | |
colorTo: indigo | |
sdk: streamlit | |
sdk_version: 1.31.0 | |
app_file: app.py | |
pinned: false | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
# Cornea AI Pentacam Analyzer | |
Advanced corneal analysis and diagnostics tool developed by Dr. Verónica Gómez Calleja, cornea specialist. | |
## Features | |
- Comprehensive Pentacam scan analysis | |
- Support for multiple file formats (PDF, PNG, JPG, JPEG) | |
- Patient history and clinical data management | |
- Comparative analysis between timepoints | |
- Advanced corneal disease diagnostics including: | |
- Keratoconus assessment using ABCD staging | |
- Fuchs Endothelial Corneal Dystrophy (FECD) evaluation | |
- Subclinical corneal edema detection using Sun criteria | |
## Setup | |
1. Install Python 3.8 or higher | |
2. Install dependencies: | |
```bash | |
pip install -r requirements.txt | |
``` | |
3. Create a `.env` file with your Google API key: | |
``` | |
GOOGLE_API_KEY=your_api_key_here | |
``` | |
4. Run the application: | |
```bash | |
streamlit run app.py | |
``` | |
## Usage | |
1. Enter patient information and clinical history | |
2. Upload Pentacam scans (supported formats: PDF, PNG, JPG, JPEG) | |
3. Choose between single timepoint analysis or comparison between timepoints | |
4. Review the AI-powered analysis results | |
## Note | |
This tool is designed to assist medical professionals in their analysis and decision-making process. It should not replace professional medical judgment. | |