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Post: Exploring the benefits of AI in veterinary medicine and education

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Exploring the benefits of AI in veterinary medicine and education
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Dr. Candice Chu, an assistant professor at Texas A&M University’s College of Veterinary Medicine and Biomedical Sciences, is creating artificial intelligence tools aimed at enhancing the learning experience for veterinary students. Chu says the technology has potential to improve the veterinary profession by increasing the ability to diagnose, teach and learn. Credit: Karis Olson ’25 / Texas A&M College of Veterinary Medicine and Biomedical Sciences A researcher at the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) is discovering new ways for veterinarians to use artificial intelligence (AI) tools in both the clinic and the classroom.

Dr. Candice Chu, an assistant professor in the VMBS Department of Veterinary Pathobiology, has developed a study tool for veterinary students based on ChatGPT technology called VetClinPathGPT.

The tool helps students in learning clinical pathobiology, a field of veterinary medicine that focuses on disease diagnosis, treatment and prevention. Using the tool, students can "chat" with AI to ask questions about terms and concepts or even ask the tool to provide a list of study questions.

Chu has also published a list of ways for AI to increase efficiency and expand the abilities of educators and clinicians in the journal Frontiers in Veterinary Science .

"AI is a powerful assistant that can help clinicians, educators and students reduce the time they spend on repetitive work ," Chu said. "By reducing repetitive tasks, individuals can spend their time on the most important parts of their work, like completing assignments or helping students and patients." Improving veterinary education with AI

Chu believes AI will become a regular part of the veterinary medicine classroom.

"Imagine having a microscope connected to a camera with AI capability, so students can look down at their slides and essentially have a clinical pathologist there to explain what they’re seeing," Chu said. "They could ask the AI, ‘What’s that cell?’ and it could tell them not only the type but also how to identify it.

"Veterinarians are in high demand and it’s a good thing to have lots of students in the classroom," she said. "But one instructor cannot work with every student individually at the […]

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