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| title: Medical Report Analysis Platform | |
| emoji: 🏥 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| app_port: 7860 | |
| # Medical Report Analysis Platform | |
| Advanced AI-powered medical document analysis using 50+ specialized models across 9 clinical domains. | |
| ## 🚀 Features | |
| ### Two-Layer AI Architecture | |
| - **Layer 1**: PDF extraction, document classification, and intelligent routing | |
| - **Layer 2**: Specialized model analysis with concurrent processing | |
| ### 50+ Specialized Medical Models | |
| - Clinical Notes (MedGemma 27B, Bio_ClinicalBERT) | |
| - Radiology (MedGemma 4B Multimodal, MONAI) | |
| - Pathology (Path Foundation, UNI2-h) | |
| - Cardiology (HuBERT-ECG) | |
| - Laboratory (DrLlama, Lab-AI) | |
| - Drug Interactions (CatBoost DDI) | |
| - Diagnosis & Triage (MedGemma 27B) | |
| - Medical Coding (Rayyan Med Coding) | |
| - Mental Health (MentalBERT) | |
| ### Comprehensive Analysis | |
| - Multi-modal content extraction (text, images, tables) | |
| - Document type classification | |
| - Specialized model routing | |
| - Concurrent processing | |
| - Result synthesis and validation | |
| - Clinical insights generation | |
| ### Regulatory Compliance | |
| - HIPAA compliant architecture | |
| - GDPR aligned data processing | |
| - FDA guidance adherence | |
| - Medical-grade security | |
| ## 📖 Usage | |
| 1. **Upload**: Drag and drop or select a medical PDF report | |
| 2. **Process**: Wait 30-60 seconds for comprehensive AI analysis | |
| 3. **Review**: Explore detailed results, insights, and recommendations | |
| ## ⚠️ Important Disclaimer | |
| This platform provides AI-assisted analysis and is designed for clinical decision support. | |
| **All results must be reviewed and verified by qualified healthcare professionals.** | |
| - Not a substitute for professional medical judgment | |
| - Requires specialist review for clinical decisions | |
| - Performance varies by document quality and type | |
| - Intended for research and development purposes | |
| ## 🔒 Security & Privacy | |
| - Encrypted data transmission | |
| - Temporary file processing (no persistent storage) | |
| - Secure handling of medical information | |
| - Compliance with healthcare data protection standards | |
| ## 🛠️ Technical Details | |
| ### Architecture | |
| - **Backend**: FastAPI + Python | |
| - **Frontend**: React + TypeScript + TailwindCSS | |
| - **AI Models**: 50+ Hugging Face models | |
| - **Processing**: Multi-modal PDF analysis with OCR | |
| ### Performance | |
| - Layer 1 Processing: < 2 seconds per page | |
| - Document Classification: < 500 ms | |
| - Specialized Analysis: 2-10 seconds | |
| - Total Analysis Time: 30-60 seconds | |
| ## 📚 Documentation | |
| Comprehensive documentation available in the repository: | |
| - Architecture Design | |
| - Pipeline Design | |
| - Model Mapping | |
| - Compliance Guidelines | |
| ## 🤝 Support | |
| For issues, questions, or feedback: | |
| - Review the documentation | |
| - Check the logs for detailed error messages | |
| - Report issues through the Space discussions | |
| --- | |
| **Medical Report Analysis Platform** - Advanced AI-Powered Clinical Intelligence | |
| Built with comprehensive research following FDA guidance, HIPAA requirements, GDPR principles, and medical AI best practices. | |