Small wording gaps become big discrepancies once cases start moving.
For CRO, med-tech, and imaging teams
Bring a radiologist into the protocol, model, QA issue, or difficult read before the decision is locked in.

FDA-cleared AI directory
The AI directory at ai.parikhradiology.com collects FDA-cleared radiology AI tools with modalities, use cases, vendors, submission numbers, decision dates, and source-linked caveats.
Risk areas
Small wording gaps become big discrepancies once cases start moving.
A model can score well and still fail in cases readers care about.
Some imaging questions need a radiologist who can explain the uncertainty.
Solutions
Solution
Turn protocol language into reader instructions, adjudication triggers, and QC rules.
Solution
Check the ground truth, reader disagreement, and failure cases behind the metric.
Solution
Focused body and oncology imaging review for difficult cases, QA, and second opinions.
Fit
Useful when a reader rule, endpoint, validation claim, or difficult case could affect a study, product, or review.
Share the project type, imaging domain, and what decision depends on the read.
The first inquiry should avoid patient-identifying information and is not a substitute for urgent clinical care.

Process
Start with the protocol, product claim, case, or QA question.
Identify where readers may disagree, hesitate, or need escalation.
Deliver reader rules, validation notes, or a focused radiology memo.
Contact
A short request is enough for an initial fit and scope review. No patient-identifying information is needed.
Request Consultationcontact@parikhradiology.com