Artificial Intelligence Applications for Veterinary Medicine

A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Veterinary Clinical Studies".

Deadline for manuscript submissions: 1 April 2026 | Viewed by 93

Special Issue Editor


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Guest Editor
1. Veterinary and Animal Science Research Centre (CECAV), Vila Real, Portugal
2. Department of Animal Science, University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
3. Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Vila Real, Portugal
Interests: clinical anatomy; applied morphology; osteoarthritis; pain management; software development for analysis of medical imaging; screening heritable diseases
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Special Issue Information

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • diagnostic imaging
  • disease surveillance and outbreak prediction
  • predictive analytics for disease
  • clinical decision support systems

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Published Papers

This special issue is now open for submission.
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