Brief description
Histographer is a software platform for building holistic solution integrating multimodal histopathology data. This solution support histopathologists in making more informed decisions based on a larger amount of data (judging from similarity to other cases in their clinical practice or the identified likelihood in scientific literature). A prioritization of cases is considered, so that the cases with higher severity and likelihood of specific diseases will be presented for confirmation first, and the cases with smallеr likelihood – later, when there is enough time.
Main Features
- Comprehensive referencial knowledge graph integrating medical information from all main ontologies in the domain (ICD9/10, SNOMED CT, Disease onotlogy, NCI ontology, UMLS, Mondo)
- Unified histopathology based diganosis ontology as defined per ExaMode project
- Automatic normalization of medical synopsis textual data to ExaMode ontology
- Automatic mapping of image analysis outcomes to Examode Ontology
- Building a holistic view based on a comprehensive knowledge graph
- Similarity search for medical cases and prioritization
- Mining research articles for similar cases
- Semantic interoperability based on HL7 FHIR
Areas of Application
Histopathology decision support systems and triaging
Market Trends and Opportunities
- AI supported image diagnostics (ML/DL)
- Semantic data integration and
- Knowledge graphs
- Graph embedding and analytics
- NLP and knowledge mining
Customer Benefits
- Unified semantic model integrating results from image analysis and textual synopsis
- Building holistic view with highly normalized multi-modal data
- Inteligent similar case detection
- Mining scientific research content
Technological novelty
- Multimodal knowledge graph
- Graph embedding
- Deep multi-lingual text analysis