metadata
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
- Upload: Drag and drop or select a medical PDF report
- Process: Wait 30-60 seconds for comprehensive AI analysis
- 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.