Pereira, A.I., Franco-Gonçalo, P., Leite, P., Ribeiro, A., Alves-Pimenta, M.S., Colaço, B., Loureiro, C., Gonçalves, L., Filipe, V., & Ginja, M. (2023). Artificial Intelligence in Veterinary Imaging: An Overview. Veterinary Sciences, 10(5), 320. https://doi.org/10.3390/vetsci10050320
This article explores the growing role of artificial intelligence (AI) and machine learning in veterinary medical imaging. The authors describe how AI, particularly deep learning, can automate and enhance the analysis of complex veterinary images, assisting clinicians in diagnosis. Key methodologies such as convolutional neural networks and transfer learning are explained, providing a foundation for veterinarians interested in integrating AI tools into practice. The review also covers AI applications in imaging across various animal body systems, including musculoskeletal, thoracic, nervous, and abdominal systems.
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