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- # MediSync: Multi-Modal Medical Analysis System
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- [![Open In HF Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg)](https://huggingface.co/spaces/MediSync)
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- ## Overview
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- 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.
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- ## Features
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- - **X-ray Image Analysis**: Detects abnormalities in chest X-rays using pre-trained vision models
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- - **Medical Report Processing**: Extracts key information from patient reports using NLP models
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- - **Multi-modal Integration**: Combines insights from both image and text data for more accurate diagnosis suggestions
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- - **Image Enhancement**: Provides image enhancement options for better visualization
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- ## How to Use This Space
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- 1. **Upload an X-ray Image**: Click on the upload field to add your chest X-ray image
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- 2. **Enter Medical Report Text**: Type or paste the corresponding radiologist's report
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- 3. **Choose Analysis Type**:
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- - **Multimodal Analysis**: Combines both image and text data
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- - **Image Analysis**: Focuses only on the X-ray image
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- - **Text Analysis**: Extracts key information from the medical report
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- ## Models Used
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- - **X-ray Analysis**: facebook/deit-base-patch16-224-medical-cxr
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- - **Medical Text Analysis**: medicalai/ClinicalBERT
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- - **Additional Support Models**: Medical entity recognition models
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- ## Example Inputs
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- The app comes with example inputs you can use to test its functionality:
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- - Sample chest X-rays with varying conditions
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- - Example medical reports with different findings
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- ## Important Disclaimer
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- 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.
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- ## Technical Details
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- MediSync is built with:
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- - Gradio for the user interface
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- - PyTorch and Transformers for the model backends
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- - Advanced visualization utilities for result interpretation
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- ## Citation & Credits
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- If you use MediSync in your research, please cite:
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- ```
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- @software{MediSync2023,
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- author = {MediSync Team},
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- title = {MediSync: Multi-Modal Medical Analysis System},
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- year = {2023},
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- url = {https://huggingface.co/spaces/MediSync}
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- }
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- ```
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- ## License
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- This project is released under the MIT License.