What is Radial?
Radial is an analytics platform for radiation oncology that runs entirely inside your institution. It connects to the systems you already run (the OIS, the TPS, and the DICOM archive) and turns their exports into one governed cohort database: structure names standardized to TG-263, cases assigned to cohorts you confirm, and dose metrics computed and watched as new cases accrue.
Architecture at a glance
COHORT DATABASE
One governed database
Curation is a staged pipeline: Radial proposes a TG-263 name for every structure and a cohort for every case, and you confirm. Every confirmation teaches your deployment's dictionary, and everything below confidence is flagged for audit. The result is a database you can defend: every name, assignment, and metric carries provenance.
Once curated, the archive behaves like a dataset. You query it graphically (cohorts, dose metrics, and population DVH, with no scripting), and Radial keeps watching as cases accrue: ambient monitoring re-checks each pinned metric, adjusts for case mix, and raises control-chart alerts for review.
The two ways in
Embed, build, or white-label
Embed Radial in your product, build on the API, or ship it under your brand. Design partners co-shape the contract as it matures.
API & integration →The full platform, locally
The complete platform on a local install: registry work without the labor, on data that never leaves your institution.
For research →Where the data lives
Radial deploys as an on-premise appliance with a browser UI and no cloud dependency. PHI never leaves the building. The trust posture is a fact of the architecture, not a policy promise.