{"id":30709,"date":"2025-06-20T16:31:04","date_gmt":"2025-06-20T16:31:04","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"the-future-of-veterinary-health-how-artificial-intelligence-is-reshaping-diagnostics-and-treatment-processes-990073","status":"publish","type":"post","link":"https:\/\/www.simbo.ai\/blog\/the-future-of-veterinary-health-how-artificial-intelligence-is-reshaping-diagnostics-and-treatment-processes-990073\/","title":{"rendered":"The Future of Veterinary Health: How Artificial Intelligence is Reshaping Diagnostics and Treatment Processes"},"content":{"rendered":"

Veterinary hospitals and clinics all over the U.S. are seeing more patients. This is because more people own pets and pay attention to their animals\u2019 health. For example, the emergency room at UC Davis now handles over 900 cases every month. That is almost twice as many as before the COVID-19 pandemic. Taking care of all these patients while keeping good care is a big challenge.<\/p>\n

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Artificial intelligence (AI) offers tools to help vets deal with this increase. AI can make diagnostic tasks faster and more accurate. This helps veterinarians decide treatments more quickly. AI also helps with staff shortages and difficult cases by automating some jobs and improving how data is studied.<\/p>\n

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Advances in AI Diagnostics Enhancing Veterinary Care<\/h2>\n

One main way AI is changing veterinary medicine in the U.S. is through diagnostics. AI programs study information from tests, images, and medical records to find diseases earlier and more accurately.<\/p>\n

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At the University of California-Davis (UC Davis), researchers have made AI tools that find diseases like Addison\u2019s disease and leptospirosis in dogs. These programs work very well: the Addison\u2019s disease tool is over 99% accurate, and the leptospirosis tool detects the disease perfectly. Catching these diseases early helps vets treat animals in time, making pets healthier.<\/p>\n

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AI is also part of devices like Zoetis\u2019 Vetscan OptiCell\u2122. This machine does complete blood count (CBC) tests automatically. It speeds up blood tests and frees up vets and staff from doing the tests by hand. Another system, Vetscan Imagyst\u00ae, uses AI to analyze urine samples and images. Clinics using these tools spend less time testing and more time caring for animals, while tests are done more consistently.<\/p>\n

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Automate Medical Records Requests using Voice AI Agent<\/h4>\n

SimboConnect AI Phone Agent takes medical records requests from patients instantly.<\/p>\n

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AI in Personalized Treatment Approaches<\/h2>\n

AI is helping more with personalizing treatments. Veterinary cancer doctors in the U.S. use machine learning to check how well drugs work for dogs with lymphoma. Dr. Joseph Impellizeri uses AI to study how cancer cells react to medicines. This helps make chemo plans just for each dog, which makes treatment work better.<\/p>\n

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AI also helps with other long-term diseases and emergencies. For example, Mars Petcare made a tool called RenalTech that can predict feline kidney disease up to two years before symptoms show. It uses medical records from many cats to find early warning signs. This early help improves health and lowers treatment costs.<\/p>\n

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Robotics and Minimally Invasive Procedures<\/h2>\n

Besides diagnostics, robots are being used more in veterinary surgeries. Robot assistance helps vets do precise surgeries that are less harmful. These surgeries cause less pain and blood loss and help animals recover faster.<\/p>\n

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At UC Davis, robotic and image-guided surgeries work with AI tools to treat tough cases like tumors, heart problems, and bone injuries. For example, 3D printers and CT scans are used to make custom titanium hip implants for dogs needing hip replacement. These implants fit better and help dogs heal faster.<\/p>\n

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Other new treatments include electrochemotherapy for cancer and radiology techniques that deliver drugs directly to the affected area. These methods need smaller cuts, cause less pain, and let pets go home sooner.<\/p>\n

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Extended Reality and Education<\/h2>\n

AI and related tech also help with veterinary training and talking to pet owners. Extended and mixed reality (XR\/MR) tools create realistic training scenes. This lets students and vets practice surgeries in virtual worlds without hurting animals. It helps improve skills and confidence for real surgeries.<\/p>\n

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For pet owners, XR\/MR shows 3D images of their pet\u2019s body and health issues. This helps them understand treatments better and trust the vet\u2019s advice.<\/p>\n

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AI and Workflow Automation: Streamlining Veterinary Practice Management<\/h2>\n

One big advantage of AI in veterinary care is automating work and managing clinics better. Vet offices are busier with more patients, complex records, and rules to follow. AI helps with phone systems, scheduling, and turning speech into written notes.<\/p>\n

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AI-powered phone systems, like those from Simbo AI, reduce work for front desk staff. They handle bookings, answer common questions, and sort urgent calls by importance. This makes communication between vets and pet owners easier without needing more staff.<\/p>\n

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Voice-to-text AI tools convert talks during visits into medical records automatically. This saves vets time on paperwork so they can care more for animals.<\/p>\n

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Automation also reminds pet owners about vaccinations, check-ups, and medicine refills. This helps pets stay healthy and improves clinic income. It also makes data easy to access and sends alerts for important health events.<\/p>\n

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The American Veterinary Medical Association (AVMA) knows these tools are important. It set up a group to make rules and resources. This helps clinics use AI safely and well while dealing with data privacy, accuracy, and staff training.<\/p>\n

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Addressing Challenges in AI Adoption<\/h2>\n

Even with the benefits, using AI has some challenges. A survey found about 70% of vet workers worry if AI is always reliable and accurate. More than half are concerned about data safety and privacy since medical information is sensitive.<\/p>\n

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Also, about 43% of vets say they don\u2019t know enough about AI and how it works in practice. So, training and easy-to-use systems are needed to help staff feel confident and skilled.<\/p>\n

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Groups like AVMA and top vet schools offer workshops and training to set standards. This helps vets switch safely to using AI technology.<\/p>\n

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The Growing Market for AI in Veterinary Healthcare<\/h2>\n

The market shows there is more demand for AI tools in veterinary care. Almost two dozen companies provide AI software and services for vet diagnostics, treatment planning, client communication, and managing clinics.<\/p>\n

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This growth shows a move toward tech-based healthcare systems to handle more patients and needs. Vet practice leaders in the U.S. have many choices, but it is important to pick tools that fit well with current systems and rules.<\/p>\n

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Summary of Key AI Innovations Transforming Veterinary Practice in the U.S.:<\/h2>\n