AI Technology
Purpose-built machine learning for complex medical data.
General-purpose LLMs hallucinate. Medical text is incredibly dense, unstandardized, and full of esoteric abbreviations. That's why we didn't use a general-purpose model.
Our engine, VDocs Cortex, is built against clinical guidelines from standard medical boards.
Under the Hood
- Multimodal ingestion pipeline: Converts images, PDFs, HL7 feeds, and handwritten documents into structured FHIR resources.
- Temporal abstraction: Automatically groups sequential labs into meaningful medical narratives ("Persistent microalbuminuria over 6 months").
- Grounding & Citation: Every claim the AI makes contains a direct link back to the exact pixel coordinates in the source document.