Call for papers - Artificial intelligence: applications in veterinary medicine

Guest Editors

Giovanni Pietro Burrai, DVM, PhD, Dipl ECVP, University of Sassari, Italy
Simon Castillo, MSc, PhD, The University of Texas MD Anderson Cancer Center, USA

Submission Status: Open | Submission Deadline: 9 February 2026

BMC Veterinary Research is calling for submissions to our Collection on Artificial intelligence: applications in veterinary medicine.

This Collection seeks to showcase fundamental and clinical research that explores the potential of AI in veterinary science. The integration of artificial intelligence (AI) into veterinary medicine is revolutionizing animal health care by improving diagnostic accuracy, treatment protocols, and practice management. Technologies like machine learning, deep learning, and natural language processing enable precise and efficient care, leading to better health outcomes for animals. Continued research and development may lead to even more sophisticated AI systems capable of real-time monitoring and predictive analytics.

New Content Item This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being.

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Meet the Guest Editors

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Giovanni Pietro Burrai, DVM, PhD, Dipl ECVP, University of Sassari, Italy

Dr Burrai earned his degree in Veterinary Medicine from the University of Sassari in 2006, followed by a specialization in Animal Health, Breeding, and Zootechnical Production in 2011, and a PhD in Reproduction, Production, and Animal Welfare in 2014. He broadened his research and expertise during study periods at the University of Liverpool, Purdue University, and the University of Bologna. In 2020, he achieved board certification from the European College of Veterinary Pathologists (ECVP).

He is currently an Associate Professor of Pathology at the University of Sassari’s Department of Veterinary Medicine, focusing on diagnosing diseases in domestic and wild animals. Giovanni’s scientific contributions include numerous peer-reviewed publications and presentations at national and international conferences, with a special interest in canine and feline mammary tumors and in the application of artificial intelligence in veterinary pathology.

Simon Castillo, MSc, PhD, The University of Texas MD Anderson Cancer Center, USA

Dr Castillo received his PhD in Biology and Ecology from the Pontifical Catholic University of Chile. His curiosity drove him to learn computational pathology during his position at the Institute of Cancer Research in London, UK and the University of Texas MD Anderson Cancer Center in Houston, USA. His research encompasses the ecology of invasive species, theoretical ecology, and, more recently, AI-driven computational pathology for human and non-human species, trying to answer how the intricate common evolutionary history across the tree of life is mapped into histo-morphological traits. In a more translational-oriented aspect, Dr Castillo is interested in developing and applying computational tools to understand further essential aspects of tumor biology in space and how that contributes to patient clinical prognosis.

About the Collection

BMC Veterinary Research is calling for submissions to our Collection on Artificial intelligence: applications in veterinary medicine.

Advancements in artificial intelligence (AI) are transforming veterinary medicine by enabling novel approaches to disease detection, treatment, and prevention. AI can assist in early diagnosis, risk assessment, and precision medicine by analyzing complex datasets, ultimately improving animal health and welfare. AI encompasses a range of technologies, including machine learning, deep learning, and natural language processing, which enable computers to analyze vast amounts of data, recognize patterns, and make informed decisions. In veterinary medicine, these technologies are being harnessed to improve diagnostic accuracy, enhance treatment protocols, and streamline practice management. By leveraging AI, veterinary professionals can provide more precise and efficient care, ultimately leading to better health outcomes for animals.

The significance of AI in veterinary medicine is underscored by its potential to improve patient outcomes and operational efficiencies. Recent innovations, such as AI-powered animal health monitors and advanced veterinary imaging techniques, have revolutionized diagnostics and treatment protocols. Furthermore, predictive analytics and natural language processing are streamlining communication and decision-making processes within veterinary practices. As we continue to explore these advancements, it becomes increasingly clear that AI has the power to redefine veterinary care, making it more precise and accessible.

We invite submissions of original research articles on the design, implementation, optimization, and clinical applications of AI in veterinary medicine. Topics of interest include, but are not limited to:

AI-driven diagnostic tools for infectious and non-infectious diseases in animals
Machine learning (ML) applications for early detection of veterinary diseases
AI in veterinary imaging and radiology analysis Predictive modeling for disease outbreaks and epidemiological surveillance
AI-powered wearable devices for real-time health monitoring in companion and farm animals
Natural language processing (NLP) for analyzing electronic veterinary health records
AI applications in veterinary surgery and anesthesia
Precision livestock farming: AI for monitoring animal welfare, behavior, and productivity
AI in veterinary pharmacology and drug discovery
Automated AI-based risk assessment for zoonotic disease transmission
Ethical considerations and challenges in the use of AI in veterinary practice
AI-assisted decision-support tools in veterinary clinical settings
AI in veterinary pathology

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

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Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial intelligence: applications in veterinary medicine" from the dropdown menu.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.