AI in Vet Med: From Bark to Bytes

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Artificial intelligence is no longer the future of veterinary medicine—it's very much the present. In this captivating discussion with guest editors Casey Cazer, Parminder Basran, and Renata Ivanek, we explore the groundbreaking AJVR supplemental issue "From Bark to Bytes: Artificial Intelligence Transforming Veterinary Medicine." 

The conversation reveals how AI applications already extend far beyond the clinical notes scribes that many practitioners might be familiar with. Veterinarians are now using AI-assisted stethoscopes to detect bovine respiratory disease, employing machine learning algorithms to predict Lyme disease risk patterns, and leveraging artificial intelligence to fill gaps in antimicrobial resistance surveillance data. Each application demonstrates how this technology can enhance clinical decision-making while accelerating vital research.

Our guests emphasize that successful AI implementation requires multidisciplinary collaboration, quality data, and thoughtful integration. "Garbage in, garbage out" remains a fundamental principle—without standardized, high-quality data, even the most sophisticated AI tools will produce unreliable results. The ethical dimensions of AI in veterinary medicine also take center stage in our discussion, from ensuring data privacy and informed consent to recognizing inherent biases and maintaining the veterinarian's ultimate responsibility for patient care.

For practitioners curious about incorporating AI tools into their workflow, our experts recommend starting with well-researched technologies, implementing them gradually, and evaluating how they affect the veterinarian-client relationship. As this field continues its rapid evolution, staying informed through resources like this supplemental issue becomes increasingly crucial for veterinarians who want to harness AI's potential while navigating its challenges. Join the conversation at the second Symposium for Artificial Intelligence in Veterinary Medicine at Cornell University (May 16-18, 2025) to explore how these technologies can help shape the future of animal healthcare.

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