AI, Deep Learning and Machine Learning in Veterinary Clinical Applications

A special issue of Veterinary Sciences (ISSN 2306-7381).

Deadline for manuscript submissions: 24 March 2026 | Viewed by 188

Special Issue Editors


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Guest Editor
Department of Biology and Plant Protection, Faculty of Agricultural Sciences, University of Life Sciences King Michael I, 300645 Timisoara, Romania
Interests: comparative anatomy; disease resistance; cellular nanotechnology

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Guest Editor
Department of Anatomy and Embryology, Badr University in Cairo (BUC), Badr University, Cairo 11829, Egypt
Interests: immunomodulation; therapeutic innovation; translational medicine

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Guest Editor
Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Benha University, Toukh 13736, Egypt
Interests: environmental contaminants; molecular toxicology; biomarker and drug target discovery; preventive medicine

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to this Special Issue, titled “Artificial Intelligence, Machine Learning and Deep Learning in Veterinary Clinical Applications”. The integration of AI-driven technologies in veterinary medicine represents a rapidly evolving frontier with the potential to revolutionize animal healthcare. As veterinary professionals face increasingly complex diagnostic and therapeutic challenges, artificial intelligence, including machine learning and deep learning, offers powerful tools to enhance clinical decision-making, improve diagnostic accuracy, and personalize treatment strategies. This research area is of growing importance as it bridges veterinary science, data science, and computational medicine. This Special Issue aims to compile high-quality contributions focused on the application of AI, ML, and DL in clinical veterinary contexts. Topics covered should align with the journal’s focus on innovation and technological advancement in animal health, diagnostics, and disease management. This Special Issue is aligned with the journal’s scope and seeks to foster cross-disciplinary collaborations between veterinarians, computer scientists, and bioengineers. Both original research articles and review papers are welcome. We look forward to receiving your valuable contributions and advancing this exciting and impactful field together.

Dr. Liana Fericean
Dr. Mohamed Abdo
Dr. Ahmed Abdeen
Guest Editors

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. Veterinary Sciences is an international peer-reviewed open access monthly 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 2100 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

  • artificial intelligence (AI)
  • deep learning (DL)
  • veterinary diagnostics
  • disease prediction
  • medical imaging
  • animal health monitoring
  • clinical applications

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Published Papers

This special issue is now open for submission.
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