Radiology adopted AI first and hardest — triage of critical findings, automated measurements, and quality checks are now routine in leading departments. The lessons generalize far beyond imaging.
Lesson one: assist, don’t replace
Tools that prioritize the worklist and pre-measure structures win adoption; tools positioned to overrule the specialist stall. Framing decides adoption.
Lesson two: validation is local
Scanner vendors, protocols, and populations differ. Serious programs run silent local validation before any output reaches a clinician.
Lesson three: integrate or die
If results don’t appear inside PACS within the existing workflow, they don’t exist. Datastrel helps providers and health-tech vendors build the imaging data pipelines, integration layers, and monitoring that turn promising models into daily tools.