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Artificial Intelligence in
Veterinary Medicine

Cornell University
College of Veterinary Medicine


Artificial Intelligence and Veterinary Medicine

Veterinary medicine is a broad and growing discipline that includes topics such as companion animal health, population medicine and zoonotic diseases, and agriculture. There is tremendous growth and potential in the development, application, and clinical use of artificial intelligence (AI) in human healthcare, and the emergence of AI in veterinary medicine poses exciting and new opportunities to improve the quality of life of animals and those who care for them. These new opportunities also come with challenges to understanding, interpreting, and adopting this powerful and evolving technology given the pace of research and commercial product developments.


AI and Veterinary Medicine at Cornell

Cornell University boasts an immense and unique collection of resources, such as the Machine Learning in Medicine (A Weill Cornell Medicine / Cornell Ithaca collaborative); Cornell University AI for Science Institute and Cornell Institute for Digital Agriculture (an ecosystem of scholars and teachers) in addition to the numerous research units including the College of Computer and Information Sciences, departments, and faculty across campus.


Shaping the Future of AI and Veterinary Medicine

The collection of these leading-edge colleges and institutes positions the College of Veterinary Medicine to lead the development and application of novel technologies. It raises the exciting possibility of creating an ecosystem of scholars, veterinary practitioners and stakeholders that can catalyze innovation and shape the future of AI in veterinary medicine and One Health.


With links to facilities such as the Animal Health and Diagnostic Center, the Cornell University Companion Animal Hospital,  Cornell is uniquely positioned to leverage data for computer vision, natural language processing, and speech recognition tasks. AI-related research within the College of Veterinary Medicine ranges from population medicine, pathology and infectious disease, livestock and agriculture, and companion animals. Below are some of the researchers actively working in veterinary medicine/One Health and AI.

Parminder Basran
Associate Research Professor 






Casey Cazer
Assistant ProfessorCasey Cazer

Brenda Hanley
Research AssociateBrenda hanley

  • Project(s): Lead impacts to bald eagles, lethal parasites in Adirondack moose, chronic wasting disease in cervids, demography of northeastern furbearers
  • Species: Bald eagle , moose, white-tailed deer, American marten, fisher, river otter, muskrat, bobcat 
  • Summary: We program computers to consider wildlife demographic and health data to conduct probabilistic searches and mathematical optimization designed to pinpoint underlying systemic mechanisms in questions that have long evaded scientific examination using traditional statistical approaches.  Recent publications include our computer’s novel computation of the population-scale impact of lead in bald eagles, which we published, only to have our findings corroborated in the journal Science one month later by an independent team using traditional approaches. We continue to apply these novel methods to solve long-standing questions in resource management, with current endeavors to use computer optimization to reduce cost of disease surveillance, or to finally crack the analytical linkage between harvest data and a species’ demographic properties. If we can succeed in that latter goal, then our work will benefit wildlife species from furbearers to fisheries, where only harvest data exists for their sustainable management.  
  • Publications: Environmental lead reduces the resilience of bald eagle populations; MoosePOPd: Population Dynamics in the Presence of Lethal ParasitesSurveillance Optimization Project for Chronic Wasting Disease (SOP4CWD)

Renata Ivanek
ProfessorRenata Ivanek



Contact Us

Whether you are a learner interested in educational opportunities in AI and Veterinary Medicine, a researcher interested in collaborating with our faculty, or a business interested in working with Cornell, reach us at: