Research
Cureator’s semantic approach builds on published research, DICOM interoperability and standards-based data modelling. This page presents the scientific foundations and technical evidence behind the platform.
The following publications form part of the scientific foundation behind Cureator’s semantic approach. They show how DICOM metadata, ontologies, RDF, SPARQL and FAIR-oriented data structures have been used in research contexts. Current Cureator capabilities are evidenced separately through product and technical documentation.
This paper examines how DICOM metadata and calculated imaging features can be represented with RDF and queried through SPARQL. It forms part of the scientific foundation for Cureator’s semantic data model. Current product capabilities are documented separately in the product documentation.
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This review examines ontologies in radiation oncology, including the Radiation Oncology Ontology and Semantic DICOM. It shows how shared concepts and relationships can support the semantic use of radiotherapy data. The work forms part of the domain foundation behind Cureator’s semantic approach.
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This paper shows how clinical data, radiomics features and DICOM metadata can be published and queried semantically in a FAIR-oriented research context. Cureator’s approach builds on this standards-based foundation. The paper does not by itself evidence current product capabilities or clinical outcomes.
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Cureator can support the identification of cohorts from connected radiotherapy and selected clinical data and provide selected datasets for further analysis. The diagnoses, findings, follow-up or outcome data that can be included depend on available interfaces, site-specific modelling, permissions and data quality.
