Artificial Intelligence (AI) represents a significant advancement in the scientific and technical fields, aiming to develop computer systems capable of performing tasks that typically require human intelligence. By enabling machines to exhibit human-like capabilities—such as learning, reasoning, planning, and creativity—AI systems can perceive their environment, solve problems, and act to achieve specific goals. This is courtesy of the ongoing research and development within Google AI and other leading tech organizations.
In recent years, the integration of AI into veterinary medicine has gained considerable momentum. Over the past five years, there has been an increase in white papers, notable events such as the Cornell Symposium on Artificial Intelligence and Veterinary Medicine (SAVY), and dedicated podcasts like the Cornell Podcast. Additionally, the NAVLE (North American Veterinary Licensing Examination) has explored AI involvement, and the AVMA (American Veterinary Medical Association) has established a task force focused on technology and innovation. These developments underscore the growing importance and application of AI in the veterinary field.
Applications of AI in Veterinary Medicine
AI’s potential in veterinary medicine is vast and diverse. Here are some key AI areas in veterinary medicine:
- Practice Management Systems and Medical Records:
AI can streamline practice management by automating administrative tasks, improving patient record accuracy, and enhancing data retrieval processes. - Telehealth and Scheduling:
AI-driven telehealth platforms facilitate remote consultations, improving access to veterinary care. AI-powered scheduling systems optimize appointment bookings, reducing wait times and increasing clinic efficiency. - Digital Radiology and 3D Printing:
AI algorithms enhance the interpretation of radiographic images, leading to more accurate diagnoses. In conjunction with 3D printing technology, AI can assist in creating precise anatomical models for surgical planning. - Diagnostics and Production Management:
AI tools analyze large datasets to identify disease patterns and predict outbreaks, aiding in early intervention and effective disease management. In production settings, AI optimizes livestock management, improving overall productivity. - Client Communication and Education:
AI-powered chatbots and virtual assistants provide clients with instant responses to common queries, enhancing customer service. AI can also create personalized educational content for pet owners, promoting better animal care practices.
Benefits and Challenges of AI in Veterinary Medicine
The primary goal of AI integration in veterinary medicine is to increase efficiency and, in some cases, improve the quality of care. Human medical research has shown that AI and robotic systems can sometimes outperform human surgeons, suggesting similar potential in veterinary procedures. By automating various aspects of business management and medical care, AI can significantly enhance the overall quality of veterinary services. However, there are challenges and concerns associated with AI in veterinary medicine. According to surveys conducted by the American Animal Hospital Association (AAHA) and observations from the human medical field, some of the primary concerns include:
• Data Quality: AI requires large datasets to train its algorithms effectively. In veterinary medicine, the availability of high-quality data is limited compared to human medicine, which can impact the accuracy and reliability of AI systems.
• Ethical Considerations: The use of
AI raises ethical questions about regulation, monitoring, and acceptance within the profession. Ensuring that AI technologies adhere to ethical standards and do not compromise patient care is crucial.
Moving Forward with AI in Veterinary Medicine
As veterinarians, it is essential to stay informed about the evolving role of AI in our field. We must balance the potential benefits of AI with ethical considerations, ensuring that our use of technology aligns with the oath we have taken to do no harm.
In the coming months, the IVMA will develop several learning tools to help our community better understand and leverage AI in veterinary practice. These resources will provide insights into the applications, benefits, and challenges of AI, empowering our members to make informed decisions about incorporating AI into their practices.
For further reading, the following references offer valuable insights into the ethical, legal, and practical aspects of AI in veterinary medicine:
• Cohen EB, Gordon IK. “First, do no harm. Ethical and legal issues of artificial intelligence and machine learning in veterinary radiology and radiation oncology.” Veterinary Radiology & Ultrasound. 2022 Dec;63 Suppl 1:840-850. DOI: 10.1111/vru.13171. PMID: 36514231; PMCID: PMC10107688.
• Tran BX, Vu GT, Ha GH, et al. “Global evolution of research in artificial intelligence in health and medicine: a bibliometric study.” J Clin Med. 2019;8(3):360. doi:10.3390/jcm8030360.
• Appleby RB, Basran PS. “Artificial intelligence in veterinary medicine.” Department of Clinical Studies, Ontario Veterinary College, University of Guelph, and College of Veterinary Medicine, Cornell University. https://doi.org/10.2460/javma.22.03.0093.
Stay tuned for more information and resources on AI in veterinary medicine from the IVMA.