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Artificial Intelligence-Assisted Interpretation of Veterinary Radiographs: Opportunities, Risks, and Best Practices
Parminder S Basran1, Ryan Appleby2, Ian Porter3
1Section of Medical Oncology, Department of Clinical Sciences, Cornell University, Ithaca, NY 14853, USA.
Abstract:
Artificial intelligence (AI) serves as a decision support tool, not a replacement for clinical judgment, when used to interpret radiological images. Veterinarians retain full professional accountability for all diagnoses and treatment decisions, regardless of AI involvement. Transparency is essential: if you cannot explain to clients in understandable terms how an AI system works and its limitations, it should not be used in practice. Successful implementation requires following established best practices, including comprehensive team training, maintaining traditional diagnostic skills, and establishing quality assurance protocols.
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