Archive retrieval
Find relevant studies and reports through semantic search over institutional imaging data.
Your data. Your intelligence.
Bring AI to the imaging archive while keeping control inside the institution.
DICOMBrain connects imaging studies and radiology reports to local retrieval, model adjustment, and inference. The institution controls the data sources, user access, model behavior, and clinical workflows that receive the results.
Authorized applications can use one local AI layer for similar-case discovery, archive questions, study prioritization, report assistance, and structured analysis.
On-premiseInstitutional dataGoverned AI
AI capabilities
Ground models in the institution’s own imaging knowledge.
Local retrieval and controlled model operations connect AI to real clinical context.
Model adjustment
Adapt model parameters using institution-controlled data and computing resources.
Local inference
Serve model results inside the facility network for authorized clinical applications.
Clinical tools
Support similar-case search, prioritization, structured drafting, and knowledge questions.
Institutional AI loop
Imaging knowledge moves through a controlled local path.
Studies and reports ground the AI response; authorized users remain responsible for how it is used.
Studies + reportsInstitutional archive→DICOMBrainRetrieve + adjust + infer→Authorized toolsViewer + workflow→Clinical reviewHuman oversight
Agent execution
Use one institutional AI layer across user interaction and workflow automation.
DICOMAgent viewer and browser
Use DICOMAgent as the viewing and conversational surface for the full agent platform—searching, comparing, retrieving, and drafting with DICOMBrain.
Governed autonomous workflow
Let RISArella orchestrate approved agent actions across prioritization, routing, worklist updates, and report preparation.
Institutional oversight
Keep every agent action within authorized data access, defined policy, audit, and human review.
Build an imaging AI layer the institution can govern.
Discuss local retrieval, model operations, and AI-enabled clinical workflows.