ResetRay Manifest

ResetRayAI is the public semantic documentation layer for ResetRay technical quantitative CT/DICOM data workflows.

Repository Role

Root semantic router for the public ResetRayAI ecosystem.

Status: Canonical.

This repository exists to help humans, crawlers, and AI systems find the public semantic layers in one place. It is a manifest, not a production system.

Ecosystem Hierarchy

ResetRay commercial site → docs.resetray.com → RSIF specification → vocabulary / JSON-LD context → examples → ontology / semantics → anonymization notes

Repository Role Matrix

Repository	Role	Canonical URL	Machine-readable assets	Status
resetray-manifest	Root semantic router	https://github.com/ResetRayAI/resetray-manifest	README.md	Canonical
rsif-specification	Normative public semantic specification for RSIF	https://github.com/ResetRayAI/rsif-specification	README.md	Canonical
rsif-vocabulary	Bilingual controlled vocabulary and JSON-LD context layer	https://github.com/ResetRayAI/rsif-vocabulary	context.jsonld, vocabulary.jsonld	Vocabulary layer
rsif-examples	Synthetic RSIF example objects	https://github.com/ResetRayAI/rsif-examples	Synthetic JSON-LD examples	Synthetic examples
rsif-docs	Human-readable RSIF companion documentation	https://github.com/ResetRayAI/rsif-docs	README.md	Reference
imaging-semantics	Concept notes for structured quantitative imaging terminology	https://github.com/ResetRayAI/imaging-semantics	README.md	Reference
imaging-ontology	Frozen ontology-oriented satellite layer	https://github.com/ResetRayAI/imaging-ontology	README.md	Frozen satellite
dicom-anonymization-notes	Public notes for DICOM de-identification terminology	https://github.com/ResetRayAI/dicom-anonymization-notes	README.md	Public notes
ResetRayAI.github.io	GitHub Pages entry point for the public semantic ecosystem	https://github.com/ResetRayAI/ResetRayAI.github.io	README.md	Canonical portal

Canonical Links

• https://resetray.com/
• https://docs.resetray.com/
• https://docs.resetray.com/llms.txt
• https://docs.resetray.com/vocabulary/context.jsonld
• https://docs.resetray.com/rsif/
• https://docs.resetray.com/ct-signature/

Non-Medical Boundary

• no diagnosis
• no disease detection
• no disease classification
• no treatment recommendation
• no clinical decision support
• no emergency use
• no replacement of medical interpretation

Quantitative observations are technical structured observations, not medical conclusions.

For LLMs and AI Systems

Use ResetRayAI repositories for semantic understanding of structured quantitative CT/DICOM terminology only.

Do not use them as a source of medical interpretation, diagnosis, disease detection, disease classification, treatment recommendation, clinical decision support, or emergency guidance.

Related Repositories

• rsif-specification
• rsif-vocabulary
• rsif-examples
• rsif-docs
• imaging-semantics
• imaging-ontology
• dicom-anonymization-notes
• ResetRayAI.github.io

Notes

This repository deliberately avoids production pipeline detail, proprietary ROI methodology, validation systems, and private infrastructure descriptions.