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

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