Solutions
Trial reads, AI validation, and difficult case review are different problems. Start with the one closest to yours.
Buyer triage
For endpoints, acquisition rules, adjudication, and site variability.
Trial operationsMetrics look good, but claims feel fragileRadiology AI validationFor reviewer logic, ground truth, failure modes, and clinical claims.
AI validationA case or QA question needs deeper reviewSubspecialty radiology consultationFor complex body or oncology imaging, QA, and second opinion review.
Expert reviewOutputs
Clinical trial imaging strategy
Turn protocol language into reader instructions, QC rules, and escalation paths.
For CRO imaging directors, sponsor teams, and trial operations leads.
Radiology AI validation
Review the ground truth, reader disagreement, and failure cases behind the metric.
For AI product, regulatory, and clinical operations teams.
Subspecialty radiology consultation
Body and oncology imaging review for hard cases, QA reviews, and partner due diligence.
For radiology groups, oncology teams, insurers, and imaging partners.
Fit 1
Yes. The work is usually scoped around the people and process already in place.
Fit 2
You leave with cleaner reader rules, validation assumptions, QC triggers, or case analysis.
Fit 3
No. A focused question can be a good fit when the imaging decision matters.