A cross-sectional survey reveals knowledge gaps and AI tool usage in veterinary medicine professionals.
Background Artificial intelligence (AI) is increasingly being applied in veterinary medicine, but uptake and knowledge levels have not been widely assessed. Hypothesis/Objectives Determine the use of, attitudes toward, and self-reported knowledge of AI among the American College of Veterinary Internal Medicine (ACVIM) and European College of Veterinary Internal Medicine — Companion Animals (ECVIM-CA) members. Methods A cross-sectional survey-based study was conducted. Responses were summarized, and descriptive statistics were performed. Survey answers were compared between ACVIM and ECVIM-CA members, and between older and younger respondents, using chi-squared or Wilcoxon rank sum tests. Results Completed survey responses were analyzed for 301 ACVIM members and 155 ECVIM-CA members. Ninety-seven of 155 (63%) ECVIM-CA and 159/300 (53%) ACVIM respondents reported they were “slightly” or “not at all” knowledgeable regarding AI. Of those surveyed, 126 (42%) ACVIM and 51 (33%) ECVIM-CA members routinely use AI tools in their clinical practice, with AI-enhanced medical scribes reported as the most commonly used AI tool. Of ACVIM and ECVIM-CA respondents, 201/299 (67%) and 103/155 (66%), respectively, agree with the statement “AI tools will become standard of care in veterinary medicine.” There were no differences in use or knowledge between ACVIM and ECVIM-CA respondents. Younger respondents used AI tools for personal use more frequently than older respondents (P < .0001). Conclusions and clinical importance Many ACVIM and ECVIM-CA members are leveraging AI tools in their practice and agree it will become a routine part of our practice. However, the low knowledge base highlights a need to increase AI literacy in veterinary specialty medicine.
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Bertin et al. (2026) studied this question.
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