AI-Powered Radiology Analysis Platform for African Healthcare Systems

A comprehensive medical imaging platform combining advanced AI analysis with intuitive user interfaces to democratize access to high-quality radiology interpretation.

AfriRad/
├── frontend/          # React + TypeScript + Vite application
└── backend/           # Node.js + Express + Prisma API server 

• Authentication System: JWT-based auth with refresh tokens and bcrypt password hashing
• Database Integration: PostgreSQL with Prisma ORM and complete medical imaging schema
• API Services: RESTful endpoints with comprehensive error handling and middleware
• Security Features: Role-based access control, rate limiting, and security headers

• Modern Stack: React 18 + TypeScript + Vite with shadcn/ui components
• State Management: Zustand stores with persistence for Auth and Cases
• Routing: React Router v6 with protected routes and authentication guards
• User Interface: Login, Dashboard, Settings pages with responsive design
• Case Management: Real-time case list with filtering, pagination, and AI analysis

• ✅ User authentication and session management
• ✅ Real-time case management dashboard
• ✅ AI-powered report analysis integration
• ✅ Secure API endpoints with proper error handling
• ✅ Responsive UI with modern component library
• ✅ Database persistence with real medical data structure
• ✅ Protected routing and role-based access

• Node.js 18+
• PostgreSQL database
• npm or yarn package manager

cd backend
npm install
cp .env.example .env  # Configure your database and JWT secrets
npx prisma generate
npx prisma db push
npm run dev

cd frontend
npm install
cp .env.example .env  # Configure API endpoint
npm run dev

The application will be available at:

• Frontend: http://localhost:3001
• Backend API: http://localhost:3000

Development plan including:

• Phase 2 (Weeks 5-8): Enhanced case management with file uploads and real-time collaboration
• Phase 3 (Weeks 9-12): AI integration with medical ML models and advanced analytics
• Phase 4 (Weeks 13-16): Production optimization, security compliance, and deployment
• Phase 5 (Weeks 17-20): Advanced features, mobile app, and scaling infrastructure

• Runtime: Node.js with TypeScript
• Framework: Express.js with middleware stack
• Database: PostgreSQL with Prisma ORM
• Authentication: JWT tokens with bcrypt password hashing
• Security: CORS, rate limiting, input validation

• Framework: React 18 with TypeScript
• Build Tool: Vite for fast development and building
• Routing: React Router v6 with protected routes
• State Management: Zustand for lightweight state management
• UI Components: shadcn/ui with Tailwind CSS
• HTTP Client: Axios with interceptors for API calls

• Containerization: Docker and Docker Compose
• CI/CD: GitHub Actions for automated testing and deployment
• Cloud: AWS/Azure with container orchestration
• Monitoring: Application performance and health monitoring

• Performance: < 2 second page load times, < 200ms API responses
• Security: HIPAA compliance, end-to-end encryption, comprehensive audit trails
• Scalability: Support for 1000+ concurrent users, multi-region deployment
• Quality: 95%+ diagnostic accuracy, 99.9% uptime target

1. Review the DEVELOPMENT PLAN for current priorities
2. Check existing issues and feature requests
3. Follow the established code style and testing patterns
4. Submit pull requests with comprehensive testing

This project is proprietary software developed for African healthcare systems. All rights reserved.

This software is intended for use by qualified medical professionals. All diagnostic decisions should be made by licensed radiologists with appropriate clinical context and training.

Last Updated: March 2026 • Version: 1.0 • Phase: 1 Complete