Dicomed is an AI-powered clinical workflow platform covering telemedicine, radiology analysis, and automated SOAP note and prescription generation.

I built it end-to-end with a Next.js and TypeScript frontend and an Express/NestJS backend, integrating Azure AI models and custom AI models for clinical documentation and imaging analysis.

The platform includes secure clinical data storage, role-based access control, and audit logging, deployed across Azure and Hostinger infrastructure.