aceFrom accuracy to service: deciding what artificial intelligence outputs may do in veterinary diagnostic laboratories
Artificial intelligence (AI) tools are entering veterinary diagnostic laboratory service, but reported model accuracy does not determine what the laboratory staff should allow an output to do. This Commentary defines service entry as the point at which an AI output is allowed to influence case triage, interpretation, a draft report, or result release. Before that point, the laboratory staff should first decide whether the submitted specimen can support the question being asked. They should then document 7 decisi…
The same canine lymphoma cytology AI performed less favorably on B-cell versus T-cell classification, prompting concern that allowing outputs to influence reports without pathologist review and without assessing whether the specimen supports the claim could lead to unsupported clinical claims.
Performance varies by clinical claim and specimen information content; Romanowsky-stained cytology images may not support B-cell versus T-cell classification, and interpretive outputs should not reach clients without pathologist review.
Evidence
- Peer-reviewedJournal of Veterinary Diagnostic Investigation2026-08-24
How should this claim be treated?
Truvace Impact Record TRV-2026-0877, v1: “From accuracy to service: deciding what artificial intelligence outputs may do in veterinary diagnostic laboratories.” Truvace, 2026-08-25. /record/TRV-2026-0877 (accessed at citation time). sha256 a2a995f468efc5cf…
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