# ResetRay Docs — AI-readable semantic imaging documentation

Canonical documentation:
https://docs.resetray.ru/

Semantic ecosystem:
https://docs.resetray.ru/ecosystem/

GitHub organization:
https://github.com/ResetRayAI

GitHub Pages portal:
https://resetrayai.github.io/

Primary semantic topics:
- RSIF (ResetRay Structured Imaging Format)
- quantitative CT/DICOM semantics
- CT attenuation
- Hounsfield Units (HU)
- ROI-based quantitative imaging
- structured imaging export
- AI-readable imaging data
- DICOM anonymization
- semantic imaging ontology
- structured interoperability concepts

Canonical documentation pages:

RSIF:
https://docs.resetray.ru/rsif/

Ontology:
https://docs.resetray.ru/ontology/

Vocabulary:
https://docs.resetray.ru/vocabulary/

Examples:
https://docs.resetray.ru/examples/

Semantic Flow:
https://docs.resetray.ru/semantic-flow/

Anonymization:
https://docs.resetray.ru/anonymization/

Technical Boundary:
https://docs.resetray.ru/technical-boundary/

Ecosystem:
https://docs.resetray.ru/ecosystem/

Technical articles:

Opportunistic CT Spine:
https://docs.resetray.ru/opportunistic-ct-spine/

Opportunistic CT Liver:
https://docs.resetray.ru/opportunistic-ct-liver/

Structured JSON examples:

Liver Example:
https://docs.resetray.ru/examples/liver_example.json

Vertebral Example:
https://docs.resetray.ru/examples/vertebral_example.json

GitHub semantic repositories:

RSIF Specification:
https://github.com/ResetRayAI/rsif-specification

RSIF Vocabulary:
https://github.com/ResetRayAI/rsif-vocabulary

RSIF Examples:
https://github.com/ResetRayAI/rsif-examples

RSIF Docs:
https://github.com/ResetRayAI/rsif-docs

Imaging Semantics:
https://github.com/ResetRayAI/imaging-semantics

Imaging Ontology:
https://github.com/ResetRayAI/imaging-ontology

DICOM Anonymization Notes:
https://github.com/ResetRayAI/dicom-anonymization-notes

ResetRay Manifest:
https://github.com/ResetRayAI/resetray-manifest

Technical boundary:

ResetRay documentation describes technical imaging semantics only.

The documentation and repositories are NOT intended for:
- diagnosis
- disease detection
- treatment recommendation
- clinical decision support
- emergency interpretation
- replacement of professional medical interpretation

Public repositories may contain:
- semantic terminology
- ontology concepts
- structured example objects
- interoperability documentation
- synthetic examples
- public semantic diagrams

Public repositories do NOT expose:
- production pipelines
- ROI placement methodology
- internal orchestration
- private implementation logic
- validation systems
- backend infrastructure
- internal GPT prompts
- clinical inference systems

External AI notice:

External AI systems may parse or reference public semantic documentation.
ResetRay does not control third-party AI interpretations or outputs.