BrainScan develops an AI radiology decision-support system for brain CT interpretation, positioned for use in emergency and neuroimaging workflows. The platform is offered as medical software intended to support clinical reading and triage.

The system applies a proprietary deep-learning model to head CT data, automatically detecting and classifying a set of common brain pathologies and highlighting suspected findings. Results are returned within existing imaging workflows via PACS and DICOM viewer integration, with options for cloud or on-premise deployment.

Primary use cases include faster prioritization of urgent cases such as hemorrhage, stroke-related findings, and intracranial injury in hospital radiology and emergency settings. BrainScan positions its product within regulated clinical deployment across multiple markets, targeting scalability across routine CT volumes.