RealActivity Imaging
Multi-cancer imaging AI platform supporting clinician assessment across six pathways, with per-slice explainability and structured FHIR R4 reporting.
Live capture — the app's own demo example (a synthetic Priority 1 glioma case), showing the per-slice concern chart and which slice actually drove the verdict
A radiologist reviewing a multi-slice MRI or CT series has to decide which image in the stack actually matters, then defend that call. RealActivity Imaging scores every slice in a series independently across six cancer pathways — brain (MRI), lung (CT), breast (mammography), liver (CT), skin (dermoscopy), and spine (MRI) — and reports which slice drove the verdict rather than assuming the geometric middle of the volume is the right one to show.
Every result returns a calibrated confidence score, ICD-10 and SNOMED coding, an occlusion-sensitivity attention map, and a TIxAI trustworthiness score measuring how well that attention overlaps the actual finding — independent of whether the verdict itself is correct. Clinicians sign in with their hospital's existing Microsoft Entra ID credentials under role-based access, every action is recorded to an audit log, and results export as FHIR R4 Diagnostic Reports with a SMART on FHIR launch flow tested against a public sandbox. It is a research platform, not a medical device — every output requires review by a qualified clinician before any diagnostic or treatment decision.
Built with RealActivity, LLC