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.
1. An Introduction to Artificial Intelligence and Machine Learning for Veterinary Professionals - p. 1023 2. Ethical Considerations for Artificial Intelligence Tools in Small Animal Veterinary Medicine - p. 1039 3. Regulation of Artificial Intelligence in Veterinary Medicine - p. 1053 4. Clinical Artificial Intelligence and Machine Learning Metrics 101: How to Evaluate Artificial Intelligence Tools for Veterinary Clinical Practices - p. 1069 5. Language Models in Veterinary Clinical Practice: Applications, Risks, and Practical Guidance - p. 1087 6. Artificial Intelligence–Assisted Interpretation of Veterinary Radiographs: Opportunities, Risks, and Best Practices for Clinicians - p. 1105 7. Computer Vision and Deep Learning in Small Animal Cytology and Slide Review - p. 1117 8. Using Evidence-Based Veterinary Medicine and Artificial Intelligence to Support Clinical Decision Making in Veterinary Practice - p. 1135 9. Disease and Health Surveillance in Companion Animals Using Artificial Intelligence and Machine Learning - p. 1151 10. Disease Prediction and Precision Veterinary Medicine: Applications, Opportunities, and Limitations of Artificial Intelligence in Small Animal Practice - p. 1165
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.
1. An Introduction to Artificial Intelligence and Machine Learning for Veterinary Professionals - p. 1023 2. Ethical Considerations for Artificial Intelligence Tools in Small Animal Veterinary Medicine - p. 1039 3. Regulation of Artificial Intelligence in Veterinary Medicine - p. 1053 4. Clinical Artificial Intelligence and Machine Learning Metrics 101: How to Evaluate Artificial Intelligence Tools for Veterinary Clinical Practices - p. 1069 5. Language Models in Veterinary Clinical Practice: Applications, Risks, and Practical Guidance - p. 1087 6. Artificial Intelligence–Assisted Interpretation of Veterinary Radiographs: Opportunities, Risks, and Best Practices for Clinicians - p. 1105 7. Computer Vision and Deep Learning in Small Animal Cytology and Slide Review - p. 1117 8. Using Evidence-Based Veterinary Medicine and Artificial Intelligence to Support Clinical Decision Making in Veterinary Practice - p. 1135 9. Disease and Health Surveillance in Companion Animals Using Artificial Intelligence and Machine Learning - p. 1151 10. Disease Prediction and Precision Veterinary Medicine: Applications, Opportunities, and Limitations of Artificial Intelligence in Small Animal Practice - p. 1165
