ResetRayAI Ecosystem
Public semantic ecosystem for RSIF, quantitative CT/DICOM interoperability, AI-readable imaging workflows and structured semantic imaging documentation.
The ecosystem connects docs.resetray.ru, GitHub repositories, RSIF specification, ontology, vocabulary, semantic diagrams and structured example objects.
Ecosystem Map
Core Repositories
rsif-specification
Canonical semantic specification for RSIF.
rsif-vocabulary
Bilingual semantic imaging vocabulary.
rsif-examples
Synthetic structured imaging example objects.
rsif-docs
Public RSIF semantic documentation repository.
imaging-semantics
Semantic terminology and AI-readable imaging concepts.
imaging-ontology
Public ontology for quantitative CT/DICOM concepts.
dicom-anonymization-notes
DICOM anonymization semantic documentation.
resetray-manifest
Canonical semantic identity and public ecosystem manifest.
Canonical Semantic Links
Semantic Scope
- Quantitative CT/DICOM semantics
- AI-readable imaging data
- Structured imaging interoperability
- Public semantic documentation
- Structured technical export concepts
- DICOM anonymization terminology
- Ontology and vocabulary layers
- Machine-readable interoperability concepts
Public Semantic Infrastructure
RSIF
Structured semantic format for quantitative imaging data.
Ontology
Ontology-compatible semantic imaging graph.
Vocabulary
Bilingual semantic terminology layer.
Examples
Synthetic public semantic example objects.
Semantic Flow
DICOM → ROI → RSIF → AI-readable workflow.
Anonymization
Public DICOM de-identification concepts.
Private Implementation Boundary
Public repositories and documentation describe semantic infrastructure only.
They do not disclose production ResetRay infrastructure.
- No production pipelines
- No ROI methodology
- No validation systems
- No internal orchestration
- No proprietary implementation logic
- No backend infrastructure
- No internal GPT prompts
- No clinical inference systems
- No scoring systems
- No threshold engines