HF_README.md

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

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

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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.