Building trustworthy clinical AI requires layering deterministic data processing, retrieval-augmented generation from authoritative sources, and verification checks—not relying on LLMs alone.
DIASENTINEL is a multi-agent system that uses LLMs safely for diabetes risk screening by combining clinical data extraction, guideline-based retrieval, and verification layers to prevent hallucinations and ensure all recommendations are traceable to medical guidelines.