Who is this for?
Institutions looking to combine image feature extraction (e.g., findings including tumor measurements), including AI results, with EHR data.
How do you parallelize?
- Integrate into GRIP Imaging Pipelines
- Use common tools such as Docker containers
- Add results to OMOP Common Data Model database
Tool Category: Brain Segmentation Feature Extraction (OMOP)
Function: OMOP standardization of features extracted from imaging-based algorithms
Tool type: Harmonization / Standardization
Key Capabilities:
- Takes morphological features extracted from AI segmentation algorithms and transforms into the OMOP common data while maintain provenance to the images used as well as the algorithm.
Based on:
- Imaging data model extension of the OMOP Common Data Model
Works With:
- DICOM Studies / OMOP Data Model
Potential use cases:
- Enables extraction of imaging features with provenance to the images and the algorithm.