In this issue of Veterinary Clinics: Small Animal Practice, guest editor Dr. Casey Cazer brings her considerable expertise to the topic of Artificial Intelligence in Small Animal Veterinary Medicine. Top experts provide an introduction to different types of AI tools that are currently or soon-to-be available for veterinary medicine tasks, helping readers learn to evaluate the ethics, regulations, and accuracy of AI tools and how to responsibly implement them into clinical workflows. As the field of AI evolves, veterinarians can continue to follow the principles outlined in this issue to assess new models and clinical tools powered by AI and machine learning.
- Contains 12 relevant, practice-oriented topics including an introduction to AI and machine learning for veterinary professionals; ethical considerations when implementing AI tools in small animal veterinary practice; evaluating machine learning and AI tools for veterinary practice; large language models: a primer for veterinary professionals; clinical decision-making support, evidence-based medicine, and machine learning/AI; and more.
- Provides in-depth clinical reviews on artificial intelligence in small animal veterinary medicine, offering actionable insights for clinical practice.
- Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
