From Data to Decisions: Evaluating AI Models for Veterinary Healthcare

Artificial intelligence (AI) is transforming veterinary medicine, offering powerful tools for diagnostics, treatment planning, and decision support. However, the successful implementation of AI models in clinical practice requires more than just promising algorithms—it demands rigorous evaluation, validation, and an understanding of their practical implications.
In this session, we will explore the essential steps in assessing AI models for veterinary healthcare, from data collection and preprocessing to model performance metrics and real-world applicability. We will discuss key considerations such as bias, generalizability, and regulatory challenges that may impact AI adoption in veterinary settings.

By the end of the session, participants will be equipped with the knowledge to critically assess AI tools, ask the right questions about their validity, and make informed decisions about their use in veterinary practice. Whether you are a clinician, researcher, or industry professional, this session will provide a practical framework for navigating the evolving landscape of AI in veterinary medicine.