Topic Editors

Department of Engineering, School of Science and Technology, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal
1. School of Science and Technology, University of Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal
2. INESC TEC–Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal
Department of Veterinary Science, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal

AI, Deep Learning, and Machine Learning in Veterinary Science Imaging

Abstract submission deadline
31 August 2025
Manuscript submission deadline
31 October 2025
Viewed by
346

Topic Information

Dear Colleagues,

The topic on "AI, Deep Learning, and Machine Learning in Veterinary Science Imaging" delves into the transformative impact of artificial intelligence and advanced machine learning techniques on diagnostics and imaging in veterinary sciences. This edition explores how AI-driven tools are enhancing the accuracy, speed, and efficiency of diagnostic imaging in veterinary medicine, including applications in radiology, ultrasound, MRI, and CT scans. By integrating deep learning algorithms, veterinary professionals can now detect and diagnose conditions with unprecedented precision, enabling early intervention and personalized treatment plans for companion animals. The issue also covers the challenges and ethical considerations of implementing AI in veterinary practices, as well as the potential for AI to bridge gaps in access to specialized imaging services in remote areas. Through a collection of research articles, case studies, and expert opinions, this special edition serves as an essential resource for veterinarians, researchers, and engineers who are at the forefront of integrating AI into veterinary science.

Dr. Vitor Filipe
Dr. Lio Gonçalves
Dr. Mário Ginja
Topic Editors

Keywords

  • artificial intelligence
  • deep learning
  • machine learning
  • veterinary imaging
  • diagnostic accuracy
  • radiology
  • ultrasound
  • MRI
  • CT scans
  • ethical considerations

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Animals
animals
2.7 4.9 2011 16.1 Days CHF 2400 Submit
Computers
computers
2.6 5.4 2012 15.5 Days CHF 1800 Submit
Information
information
2.4 6.9 2010 16.4 Days CHF 1600 Submit
Journal of Imaging
jimaging
2.7 5.9 2015 18.3 Days CHF 1800 Submit
Veterinary Sciences
vetsci
2.0 2.9 2014 21.2 Days CHF 2100 Submit

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Published Papers

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