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Healthcare & AI
In progress
PRISMA — Clinical AI for Oncology
Oncology-focused clinical reasoning prototype with local LLM via Ollama, semantic literature search (RAG), and auditable case analysis workflow.
Data inference
100% local
privacy model documented
Local latency (doc)
30-50ms
technical comparison vs external APIs
Demo cases
2 cases
liver and lung oncology
Challenge
Deliver AI support for clinical teams without exposing sensitive patient data to external APIs while preserving analysis speed.
Solution
Local-first architecture with Llama 3 via Ollama, ChromaDB for medical literature retrieval, and fallback behavior when AI services are unavailable.
Key outcomes
- Local inference keeps sensitive data inside clinical perimeter
- End-to-end flow: patient data → literature → recommendation
- Two complete oncology demo cases for validation
- Operational fallback when Ollama/ChromaDB are offline
Technologies
Next.js
TypeScript
Python
Ollama
ChromaDB
RAG
Prisma ORM
Docker