Integrating artificial intelligence into veterinary education: student perspectives

Area of Science:

• Veterinary Education
• Artificial Intelligence in Medicine
• Higher Education Technology

Background:

• Technological advancements are transforming higher education, necessitating the integration of tools like artificial intelligence (AI).
• Understanding veterinary students' perspectives on AI is crucial for adapting curricula to future veterinary practice.

Purpose of the Study:

• To explore veterinary students' interest in AI.
• To assess their current training and experiences with AI.
• To understand their perceptions of AI integration in veterinary medicine and education.

Main Methods:

• A comprehensive survey was administered to 604 veterinary students from diverse nationalities at an international university in Spain.
• The survey focused on students' familiarity with AI, its use in academic settings, and their views on its role in veterinary education and practice.

Main Results:

• Most veterinary students are familiar with AI tools and use them academically, viewing AI as a valuable educational resource.
• Students strongly desire AI education integration, particularly for applications in clinical patient monitoring and veterinary management.
• A significant need for training in AI principles, regulation, ethical use, and response reliability was identified.

Conclusions:

• Integrating AI training into veterinary curricula is essential for enhancing students' competencies and preparing them for future practice.
• Universities must provide targeted training and support to ensure the ethical and effective use of AI in veterinary medicine.
• Continuous curriculum adaptation is necessary to align veterinary education with technological advancements and evolving industry demands.