| # MediSync: Multi-Modal Medical Analysis System | |
| [](https://huggingface.co/spaces/MediSync) | |
| ## Overview | |
| MediSync is an AI-powered healthcare solution that combines X-ray image analysis with patient report text processing to provide comprehensive medical insights. This demo showcases how multiple AI models can work together to provide a more complete analysis than either could alone. | |
| ## Features | |
| - **X-ray Image Analysis**: Detects abnormalities in chest X-rays using pre-trained vision models | |
| - **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 | |
| - **Image Enhancement**: Provides image enhancement options for better visualization | |
| ## How to Use This Space | |
| 1. **Upload an X-ray Image**: Click on the upload field to add your chest X-ray image | |
| 2. **Enter Medical Report Text**: Type or paste the corresponding radiologist's report | |
| 3. **Choose Analysis Type**: | |
| - **Multimodal Analysis**: Combines both image and text data | |
| - **Image Analysis**: Focuses only on the X-ray image | |
| - **Text Analysis**: Extracts key information from the medical report | |
| ## Models Used | |
| - **X-ray Analysis**: facebook/deit-base-patch16-224-medical-cxr | |
| - **Medical Text Analysis**: medicalai/ClinicalBERT | |
| - **Additional Support Models**: Medical entity recognition models | |
| ## Example Inputs | |
| The app comes with example inputs you can use to test its functionality: | |
| - Sample chest X-rays with varying conditions | |
| - Example medical reports with different findings | |
| ## Important Disclaimer | |
| This system is designed as a support tool and should NOT replace professional medical diagnosis. It is intended for educational and research purposes only. Always consult with healthcare professionals for medical decisions. | |
| ## Technical Details | |
| MediSync is built with: | |
| - Gradio for the user interface | |
| - PyTorch and Transformers for the model backends | |
| - Advanced visualization utilities for result interpretation | |
| ## Citation & Credits | |
| If you use MediSync in your research, please cite: | |
| ``` | |
| @software{MediSync2023, | |
| author = {MediSync Team}, | |
| title = {MediSync: Multi-Modal Medical Analysis System}, | |
| year = {2023}, | |
| url = {https://huggingface.co/spaces/MediSync} | |
| } | |
| ``` | |
| ## License | |
| This project is released under the MIT License. |