No paper review published yet
Future reviews will cite papers directly and summarize design, population, endpoints, limitations and practical relevance.
Evidence and paper reviews
Science first, marketing second.
Evidence reviews examine whether a study actually supports the operational and clinical claim being made. Strong evidence is welcomed. Thin evidence is named carefully.
From result to real-world claim
A high metric in a narrow dataset may not establish clinical reliability, workflow savings or broad species coverage.
Evidence categories stay separate
Vendor-supported evidence, third-party validation and independent reproduction are not treated as interchangeable.
Review criteria
What a paper check asks.
The goal is not to punish limited studies. It is to prevent limited studies from being stretched into broader claims than they can support.
Study design
What was measured, what was excluded and whether the endpoint matches the claim.
Dataset fit
Species, cases, clinics, devices, geography and distribution shift.
Baseline
Which human, workflow, veterinary-specific or frontier-model baseline is relevant.
Clinical relevance
Whether performance differences matter in veterinary practice.