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Curriculum framework for artificial intelligence literacy in veterinary education.

Yi-Ting Huang1, Candice P Chu1

  • 1Department of Veterinary Pathobiology, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, United States.

Frontiers in Veterinary Science
|May 8, 2026
PubMed
Summary

Artificial intelligence (AI) integration in veterinary medicine requires AI literacy for veterinarians. This study proposes five core curriculum modules to equip Doctor of Veterinary Medicine (DVM) students with essential AI knowledge.

Keywords:
AIAI literacyDVM educationartificial intelligencelarge language modelmachine learningveterinary curriculumveterinary student

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Area of Science:

  • Veterinary Medicine
  • Artificial Intelligence
  • Education

Background:

  • Artificial intelligence (AI) is rapidly advancing and becoming integral to veterinary practice.
  • Licensed veterinarians are accountable for AI-assisted medical decisions, necessitating AI literacy.
  • There is a critical need to incorporate AI education into veterinary curricula in the United States.

Purpose of the Study:

  • To propose core curriculum modules for AI literacy in Doctor of Veterinary Medicine (DVM) programs.
  • To establish a foundation for developing institution-specific AI literacy courses.
  • To advocate for institutional resources to support AI education in veterinary schools.

Main Methods:

  • Proposal of five core modules for a comprehensive AI literacy curriculum.
  • Outline of essential resources for developing AI literacy courses.
  • Focus on foundational knowledge for DVM students.

Main Results:

  • A framework for AI literacy curriculum development in veterinary schools.
  • Identification of key components for AI education in veterinary medicine.
  • Emphasis on practical application and ethical considerations of AI in practice.

Conclusions:

  • Integrating AI literacy into DVM programs is essential for future veterinary professionals.
  • Standardized curriculum modules can facilitate widespread adoption of AI education.
  • Institutional support is crucial for the successful implementation of AI literacy courses.