Insights
Field notes on making imaging AI work.
Practical, vendor-neutral perspectives on deployment, integration, workflow, and adoption, written for radiology, IT, and healthcare leadership.
2026-02-10
Why imaging AI fails in implementation (and not in the model)
The model passes validation, then stalls in the reading room. Here is where healthcare AI projects actually break: integration, workflow, and ownership.
Read article → 2026-01-22A practical PACS / RIS / EHR integration checklist for imaging AI
DICOM routing, HL7 messaging, FHIR resources, and workflow embedding: the integration questions to answer before you deploy.
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