Radiology Transcript Interpreter · research proof of concept
Documentation
These sections are rendered directly from the checked-in specifications, plans, and operator documents. The Markdown files remain authoritative.
Public project and scope overview
A concise guide to what this artifact-backed research demonstration does and does not claim.
# rad-nlp Public Research Demonstration
This site demonstrates how one reviewed, generated radiology transcription can
be represented through progressively enriched intermediate representations.
The interface lets a visitor run that exact example and move from preserved
source text through linguistic observations, constructions, discourse frames,
ontology grounding, and validated structured output.
The public host now runs the research toolchain behind the Go hub: Stanza,
Grew, UCxn, MoCCA, FrameNet, SWI-Prolog, and the compiled RadLex knowledge
base. The Toolchain UI reports their live identities and readiness, and the
allowlisted capability API routes execute those resident services.
The interpreter's R0-through-R5 visual example remains artifact-backed. It
reads the immutable checked-in proof-of-concept result; this release does not
yet turn edited or arbitrary transcription text into a new durable R0-through-
R5 interpretation. Live tool availability and the completed interpreter
workflow are separate boundaries.
The example and research inputs are generated transcriptions reviewed for this
demonstration. Historical source reports are not retained. The host contains
no patient data or application credentials; evaluation records are mutable
operational evidence generated by toolchain checks.
This is research software. Its output is not medical advice, is not clinically
validated, and must not be used for diagnosis, treatment, or patient care.