Artificial Intelligence (AI) involves computer-mediated algorithms that can analyze and execute tasks similarly to humans. Artificial intelligence (AI) now influences every aspect of life and academics, and research is no exception. AI represents the intelligence present in machines, which can be trained to process data like the human brain and solve problems (Kour et al., 2022). The term artificial intelligence was first adopted as a field of study in 1956. Recently, there has been much attention drawn towards these technologies due to their use in education, research, and science (Hamet and Tremblay, 2017). Veterinary medicine includes animal health, public health, population health, diseases shared by humans and animals, and production and services (Kour et al., 2022). These technologies have been a great boon in such areas. AI may have the most integral influence on human learning capabilities. The application of AI will have immense influence on human capability to learn (Choudhary et al., 2025). The relevance and use of cadaveric specimens, physical models, and dissections have always been a part of the teaching of veterinary anatomy. Sufficient opportunities to observe, assist, and directly handle pet and farm animals recognise the significance of value of work based learning in professional workplaces. The study conducted on Final-year veterinary students of Chattogram Veterinary and Animal Sciences University (CVASU), Bangladesh to determine the challenges that appeared in work-based learning. It has been observed that work-based learning with more effective learning access is accurate, engaging and interactive and placement for jobs also is achieved. Still, ethical concerns, limited availability of specimens and high costs of necropsy facilities pose challenges) (Sattar et al., 2023). The recent shift in anatomical studies is the inclusion of AI with the physical learning in animal anatomical studies, which have been introduced in veterinary curricula. Highly sophisticated three-dimensional (3D) printed models, augmented reality (AR) simulations, and virtual dissection platforms are changing veterinary anatomical studies now. The transition-I aligned with the global requirements, tech-integration incorporated studies in the education (Choudhary and Sarkar, 2025).

Another big challenge faced by students is lack of practical experience due to distance learning (Busch et al., 2024). Using techs like virtual reality and augmented reality makes veterinary teaching less dependent on physical models (Choudhary et al., 2025). Moreover, in veterinary education, incorporating educational games based on AI can enhance understanding through interactive and playful ways (de Brito et al., 2025).