
Parminder S. Basran
· Associate Research ProfessorCornell University · Artificial Intelligence in Veterinary Medicine
Active 1997–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Political Science
- Veterinary medicine
- Medicine
- Engineering
- Medical education
- Engineering ethics
- Traditional medicine
Selected publications
Artificial intelligence in veterinary medicine
Journal of the American Veterinary Medical Association · 2022 · 73 citations
Senior authorCorrespondingArtificial intelligence (AI) is a branch of computer science in which computer systems are designed to perform tasks that mimic human intelligence. Today, AI is reshaping day-to-day life and has numerous emerging medical applications poised to profoundly reshape the practice of veterinary medicine. In this Currents in One Health, we discuss the essential elements of AI for veterinary practitioners with the aim to help them make informed decisions in applying AI technologies into their practices.…
The unmet potential of artificial intelligence in veterinary medicine
American Journal of Veterinary Research · 2022 · 50 citations
1st authorCorrespondingVeterinary medicine is a broad and growing discipline that includes topics such as companion animal health, population medicine and zoonotic diseases, and agriculture. In this article, we provide insight on how artificial intelligence works and how it is currently applied in veterinary medicine. We also discuss its potential in veterinary medicine. Given the rapid pace of research and commercial product developments in this area, the next several years will pose challenges to understanding, inte…
What’s in the box? A toolbox for safe deployment of artificial intelligence in veterinary medicine
Journal of the American Veterinary Medical Association · 2024-04-10 · 15 citations
reviewOpen access1st authorCorrespondingThis report describes a comprehensive framework for applying artificial intelligence (AI) in veterinary medicine. Our framework draws on existing research on AI implementation in human medicine and addresses the challenges of limited technology expertise and the need for scalability. The critical components of this framework include assembling a diverse team of experts in AI, promoting a foundational understanding of AI among veterinary professionals, identifying relevant use cases and objective…
Journal of the American Veterinary Medical Association · 2025-03-19 · 12 citations
articleOpen accessSenior authorThe American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnostic Imaging (ECVDI) recognize the transformative potential of AI in veterinary diagnostic imaging and radiation oncology. This position statement outlines the guiding principles for the ethical development and integration of AI technologies to ensure patient safety and clinical effectiveness. Artificial intelligence systems must adhere to good machine learning practices, emphasizing transparency, er…
Artificial Intelligence in Diagnostic Imaging
Advances in Small Animal Care · 2024-07-19 · 9 citations
articleSenior author
Frequent coauthors
- 36 shared
Patrick Cheung
Sunnybrook Health Science Centre
- 28 shared
Gerard Morton
Sunnybrook Health Science Centre
- 27 shared
R. Tirona
Sunnybrook Health Science Centre
- 27 shared
Geordi Pang
- 22 shared
Matthias Wieland
Cornell University
- 21 shared
D.A. Loblaw
- 20 shared
Ian R. Porter
New York State College of Veterinary Medicine
- 17 shared
Sandra Gardner
Education
- 2002
PhD Medical Physics, Physics and Astronomy
University of Calgary
- 1997
MSc Medical Physics, Physics
University of Alberta
- 1995
BSc Honors Physics, Physics
University of Alberta
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