A grounded, auditable medical AI system that combines three knowledge sources, evidence retrieval with citations, clinical safety rules, and structured output — ensuring every AI summary is traceable and verifiable.
Traditional AI summaries in healthcare are inconsistent, unverifiable, miss risk signals, and lack clinical guardrails.
Every consultation is grounded in three curated, authoritative knowledge layers — not raw internet data.
After the consultation ends, the transcript enters a multi-stage retrieval pipeline that finds the most relevant evidence.
The pipeline produces a structured evidence pack with citations, red flags, and confidence scores — then clinical rules check for safety.
The final output is a structured summary where every key finding is backed by a citation. Consistent, traceable, auditable.
A grounded medical AI pipeline that clinicians can trust, audit, and act on safely.
Every summary is evidence-based, every claim is cited, every risk is flagged — no hallucination, no guessing.