Artificial intelligence (AI), including machine learning (ML) and deep learning (DL), is rapidly transforming clinical veterinary practice by enhancing diagnostics, disease surveillance and decision support processes across animal health domains. The safe and effective clinical deployment of these technologies, however, depends critically on the preparedness of the veterinary workforce, positioning veterinary education as a strategic enabler of translational adoption. This narrative review examines the integration of AI within veterinary education as a foundational step toward its responsible application in clinical practice. We synthesize current evidence on AI-driven tools relevant to veterinary curricula, including generative and multimodal large language models, intelligent tutoring systems, virtual and augmented reality platforms and AI-based decision support tools applied to imaging, epidemiology, parasitology, food safety and animal health. Particular attention is given to how the structured educational use of AI mirrors real-world clinical workflows and supports the development of competencies essential for clinical translation, such as data interpretation, uncertainty management, ethical reasoning and professional accountability. The review further addresses ethical, regulatory and cognitive considerations associated with AI adoption, including algorithmic bias, data privacy, equity of access and the risks of overreliance, emphasizing their direct implications for diagnostic reliability and animal welfare. By framing veterinary education as a controlled and reflective environment for AI engagement, this article highlights how pedagogically grounded training can facilitate safer clinical deployment, foster interdisciplinary collaboration and align technological innovation with professional standards in veterinary medicine.

In this research, we examined the head of the six-banded armadillo (Euphractus sexcintus) using advanced imaging techniques, including computed tomography and magnetic resonance imaging, and correlated these findings with the anatomical cross sections. For this, we analyzed three adult specimens. By integrating imaging data with anatomical cross-sections, we present a detailed description of the structures that constitute the head of this species, highlighting its most distinctive features. Therefore, a well-developed tympanic cavity was observed. The masticatory muscles, including the temporalis, masseter, medial, and lateral pterygoid muscles, were adequately delineated. Moreover, the encephalon exhibited characteristics like those of other mammals, with notable development of the olfactory bulbs. This anatomical information may serve as a valuable diagnostic reference for the clinical evaluation of different disorders in the six-banded armadillo, such as cranial malformations, fractures, neurological conditions, and neoplasms.

The Yellow-legged Gull (Larus michahellis) is one of the most frequently admitted seabirds to wildlife rehabilitation centers in the Mediterranean and Atlantic regions. Despite its clinical relevance, detailed computed tomographic references of the coelomic cavity are lacking. The aim of this study was to describe the normal cross-sectional anatomy and computed tomographic appearance of the coelomic cavity in this species and to develop an anatomical atlas to facilitate diagnostic image interpretation. Eight young adult female Yellow-legged Gull were examined post-mortem. Six specimens underwent computed tomography using a 16-slice helical scanner, followed by frozen transverse sectioning, while two specimens were dissected to provide detailed anatomical correlation. CT datasets were evaluated using bone, soft tissue, and pulmonary window settings, and three-dimensional volume-rendered reconstructions were generated. Anatomical dissections, cross-sectional slices, and CT images enabled identification and characterization of the principal structures of the respiratory, cardiovascular, digestive, urinary, and reproductive systems, as well as their spatial relationships within the coelomic cavity. The combined evaluation of gross anatomy and CT imaging allowed accurate recognition of major organs, air sacs, large vessels, and skeletal landmarks throughout the examined sections. The atlas provides a comprehensive reference for normal coelomic anatomy in Larus michahellis and establishes a baseline for the interpretation of CT examinations in clinical, rehabilitation, and research settings. These findings may improve diagnostic accuracy and support future investigations of coelomic disorders in this species.

In this research, we have studied the head of the six-banded armadillo, applying advanced imaging techniques such as CT and MRI. Furthermore, by combining the images obtained through these techniques with anatomical cross sections, we present an adequate description of the structures that constitute the head of this species. This anatomical information could provide a valuable diagnostic tool for the clinical evaluation of different desorders in six-banded armadillo including skull malformations, fractures, and neoplasia.

Artificial intelligence (AI) is rapidly transforming veterinary education and practice, increasing the need for AI literacy among future veterinary professionals. However, evidence regarding veterinary students’ knowledge, use, and perceptions of AI remains limited. This cross-sectional study evaluated AI awareness, usage patterns, attitudes, and educational expectations among undergraduate veterinary students at the University of Las Palmas de Gran Canaria (Spain). A semi-structured online questionnaire was completed by 189 students (43% of the target population), and data were analysed using descriptive statistics and Pearson’s chi-square tests. Most students reported frequent use of generative AI tools, particularly ChatGPT, mainly for information retrieval and academic support. Participants generally perceived AI as a valuable educational resource but expressed concerns regarding the reliability of AI-generated information, ethical issues, data privacy, and the potential impact on critical thinking. Despite widespread AI use, most respondents reported limited formal training and insufficient institutional guidance, while strongly supporting the integration of AI-related competencies into the veterinary curriculum. These findings highlight a gap between the rapid adoption of AI and the development of formal AI literacy in veterinary education. Veterinary curricula should promote not only technical proficiency but also critical evaluation, ethical awareness, and the responsible use of AI in professional practice.

Background/Objectives: Caprine coccidiosis caused by Eimeria spp. is an important parasitic disease affecting goat health and production, with current control strategies relying mainly on anticoccidial drugs. The emergence of drug resistance and the need for sustainable alternatives highlight the importance of developing effective immunoprophylactic approaches. This study aimed to evaluate the immunoprotective effect of X-ray-attenuated Eimeria oocysts against caprine coccidiosis under field conditions and to determine the influence of vaccination on parasite burden, clinical outcomes, and productive performance. Methods: A field study was conducted using attenuated oocysts obtained from naturally infected goats from the same farm. The main Eimeria species identified were E. christenseni, E. arloingi, and E. ninakohlyakimovae. Three sequential trials were performed to optimize vaccination protocols. Goat kids aged 1–6 weeks received different immunization treatments consisting of doses ranging from 5 × 10³ to 6 × 10⁴ sporulated oocysts attenuated by X-ray irradiation at 10–30 kRad (100–300 Gy). Animals were monitored weekly through the evaluation of body weight, faecal consistency, health status, faecal oocyst shedding, and Eimeria species composition. Results: Vaccination with radiation-attenuated oocysts reduced parasite replication and faecal oocyst shedding, particularly affecting highly pathogenic species such as E. ninakohlyakimovae, while maintaining overall Eimeria species diversity. Clinical protection was mainly reflected in reduced parasite pressure rather than the complete prevention of mild diarrhoea. Productive parameters were not markedly improved, suggesting that the main benefit of vaccination was improved parasite control and reduced environmental contamination. Conclusions: Early administration of X-ray-attenuated Eimeria oocysts represents a promising strategy for controlling caprine coccidiosis. Vaccine efficacy depends on appropriate timing and optimization of attenuation conditions. Further studies investigating immune mechanisms, species-specific protection, and performance under commercial farming conditions are required to support the development of sustainable vaccines for goat production.