AI-Powered Healthcare MVP for Patient Imaging Insights
A New York-based healthcare MVP that helps patients better understand their medical imaging results through AI-assisted explanations in plain, human-readable language.
Healthcare
USA New York
6 months
$35K
Our Approach
We treated this project as both a healthcare MVP and an AI product foundation, even though AI was not intended to be a final diagnostic authority.
Our approach focused on: Building a HIPAA-aware AI architecture, ensuring secure handling of PHI, encrypted data storage, controlled access, and audit-ready workflows.
Implementing a RAG architecture, allowing AI responses to be grounded in verified medical sources, guidelines, and structured knowledge rather than raw model output.
Creating an MVP that could quickly validate user demand with real patients.
Preparing the system for clinician-in-the-loop workflows, future clinical partnerships, and deeper AI validation.
Instead of starting with heavy AI training or custom medical models, we focused on practical AI integration, strong prompt orchestration, and reliable workflows that could evolve over time.
Hi, I'm Danylo Melnychuk
CEO at Xedrum
Don't wait — let's talk today.
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