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April 26, 2026Frontiers in Veterinary Science0 citationsOpen Access

Curriculum framework for artificial intelligence literacy in veterinary education

YHYi-Ting HuangCCCandice P. Chu

Key Points

  • The aim is to integrate artificial intelligence literacy into the Doctor of Veterinary Medicine curriculum.
  • Proposed five core modules for AI literacy in veterinary education.
  • Outlined necessary resources for institutions to develop courses.
  • Focused on a comprehensive approach for DVM coursework.
  • Institutions need to develop AI literacy resources as highlighted in the article.
  • The proposed modules can be adapted for specific institutional needs.
  • Emphasized the importance of accountability in AI-assisted veterinary practices.

Abstract

Artificial intelligence (AI) is a rapidly evolving technology increasingly incorporated into veterinary medicine. Given the demand for AI integration and the accountability placed on licensed veterinarians for AI-assisted medical decisions, there is an urgent need to integrate AI literacy into the Doctor of Veterinary Medicine (DVM) curriculum in the United States. Here, we proposed five core modules for a comprehensive AI literacy curriculum for DVM students that can serve as a foundation for institution-specific course development. We also urge institutions to provide the resources outlined in this article to facilitate the development of AI literacy courses in veterinary schools.

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Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69edaafc4a46254e215b32d7https://doi.org/10.3389/fvets.2026.1801756
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