Comparative Morphometric and Structural Analysis of the Ovine Brain: Integrating Traditional Anatomical Methods with Artificial Intelligence-Driven 3D Modeling and Identification

The study of veterinary anatomy is gradually progressing with the combination of digital imaging and artificial intelligence (AI). This paper aimed to evaluate the potential use of AI tools for morphometric analysis and the anatomical identification of the ovine brain. Five adult specimens were used and approached through traditional dissection and fixation methods followed by digital photography and manual measurement with high-precision Vernier calipers. These results were compared against AI-based approaches, including DeeVid AI for 3D reconstruction, Imageonline for digital measurement, and ChatGPT/Artlist for anatomical nomenclature. The findings indicate that AI tools like DeeVid AI significantly enhance structural visualization, and Imageonline provides high-precision measurements comparable to manual tools (p > 0.05). However, AI-driven anatomical naming remains prone to significant errors, with ChatGPT and Artlist exhibiting error rates of 87.5% and 70.8%, respectively, in specific neuroanatomical labeling. This study concludes that while AI eases the reshaping and measurement of anatomical structures, human expertise remains indispensable for accurate anatomical identification.