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---
title: Medical Analysis System
emoji: πŸ€–
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.20.1
app_file: run.py
pinned: false
---
# MediSync: Multi-Modal Medical Analysis System
MediSync is an AI-powered healthcare solution that combines X-ray image analysis with patient report text processing to provide comprehensive medical insights.
## Features
- **X-ray Image Analysis**: Detects abnormalities in chest X-rays using pre-trained vision models from Hugging Face.
- **Medical Report Processing**: Extracts key information from patient reports using NLP models.
- **Multi-modal Integration**: Combines insights from both image and text data for more accurate diagnosis suggestions.
- **User-friendly Interface**: Simple web interface for uploading images and reports.
## Project Structure
```
mediSync/
β”œβ”€β”€ app.py # Main application with Gradio interface
β”œβ”€β”€ models/
β”‚ β”œβ”€β”€ image_analyzer.py # X-ray image analysis module
β”‚ β”œβ”€β”€ text_analyzer.py # Medical report text analysis module
β”‚ └── multimodal_fusion.py # Fusion of image and text insights
β”œβ”€β”€ utils/
β”‚ β”œβ”€β”€ preprocessing.py # Data preprocessing utilities
β”‚ └── visualization.py # Result visualization utilities
β”œβ”€β”€ data/
β”‚ └── sample/ # Sample data for testing
└── tests/ # Unit tests
```
## Setup Instructions
1. Clone this repository:
```bash
git clone [repository-url]
cd MediSync
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Run the application:
```bash
python app.py
```
4. Access the web interface at `http://localhost:7860`
## Models Used
- **X-ray Analysis**: facebook/deit-base-patch16-224-medical-cxr
- **Medical Text Analysis**: medicalai/ClinicalBERT
- **Additional Support Models**: Medical question answering and entity recognition models
## Use Cases
- Preliminary screening of chest X-rays
- Cross-validation of radiologist reports
- Educational tool for medical students
- Research tool for studying correlation between visual findings and written reports
## Note
This system is designed as a support tool and should not replace professional medical diagnosis. Always consult with healthcare professionals for medical decisions.