Simulation, artificial intelligence, and competency-based frameworks in veterinary medical education:a narrative review
10.4142/jvs.25194
- Author:
Hui ZHANG
;
Aoyun LI
;
Ying LI
;
Fazul NABI
;
Hailong DONG
;
Yongjiang MA
- Publication Type:Narrative Review
- From:Journal of Veterinary Science
2026;27(3):e37-
- CountryRepublic of Korea
- Language:English
-
Abstract:
and Relevance: Evidence from the literature suggests that, when integrated appropriately, simulation technologies, digital learning environments, and AI-assisted tools collectively enhance the key elements of veterinary training. These approaches can support safer clinical practice, help standardize skill development, and broaden access to quality training, particularly in resource-limited settings. Instead of hypothesizing new mechanisms, this review uses current evidence to highlight practical implications for curriculum design and clinical preparedness. Continued investment in faculty development, ethical use of AI, and infrastructure is essential for achieving sustainable, technology-enhanced veterinary education.
