Artificial Intelligence Applications for Veterinary Medicine

Dear Colleagues,

Artificial Intelligence (AI) has emerged as a transformative tool in veterinary medicine, offering innovative solutions across diagnostics, treatment planning, disease surveillance, and animal health management. Machine learning algorithms, image recognition, and predictive analytics are increasingly applied to enhance diagnostic accuracy, optimize therapeutic interventions, and streamline clinical decision-making. AI tools are being integrated into imaging modalities such as radiography and ultrasound, enabling automated lesion detection and classification. Furthermore, natural language processing is facilitating the extraction of clinical insights from unstructured veterinary records, contributing to evidence-based practice.

The aim of this Special Issue is to bring together the latest findings concerning the role of AI in veterinary science and animal healthcare. Original research papers and literature reviews from different research areas, such as diagnostic imaging and analysis, pathology, epidemiology, animal behavior, telemedicine, veterinary robotics, pet health monitoring devices, personalized treatment plans, supply chain and inventory management, veterinary drug discovery, and chatbots for pet owners, are encouraged. These contributions will illustrate how AI is being employed to solve complex veterinary challenges, ranging from diagnostic automation to disease prevention strategies. Additional topics and interdisciplinary studies regarding the ethical, regulatory, and economic aspects of AI adoption in veterinary practice will also be considered.

Dr. Sofia Alves-Pimenta
Guest Editor

Manuscript Submission Information

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