Evidence and paper reviews
Evidence reviews examine whether a study actually supports the operational and clinical claim being made. Strong evidence is welcomed. Thin evidence is named carefully.
A systematic audit found low public disclosure across commercial tools. Our review separates that finding from the stronger—and unsupported—claim that the tools were never validated.
A high metric in a narrow dataset may not establish clinical reliability, workflow savings or broad species coverage.
Vendor-supported evidence, third-party validation and independent reproduction are not treated as interchangeable.
Review criteria
The goal is not to punish limited studies. It is to prevent limited studies from being stretched into broader claims than they can support.
What was measured, what was excluded and whether the endpoint matches the claim.
Species, cases, clinics, devices, geography and distribution shift.
Which human, workflow, veterinary-specific or frontier-model baseline is relevant.
Whether performance differences matter in veterinary practice.
