How can Artificial Intelligence improve animal, human, and environmental health?

Abstract

In veterinary sciences, a field that goes from animal health to food production and public health, AI emerging developments move forward in several areas. Research on AI in veterinary medicine that targets companion animals has been initially focused on image interpretation and disease diagnosis. The use of sensors and real-time data promising improvements in production efficiency coupled with increased animal health and welfare status are at the heart of current research on precision livestock farming. Enhancing food safety and reducing environmental impact through exhaustive control of inputs in animal production may also justify the adoption of these new technologies. Another branch of current veterinary research is the development of complex models that use data from various sources to alert authorities about the emergence animal infectious diseases and increased risks of zoonotic disease from wildlife populations. In this talk, I discuss the recent research and development of AI on animal health, its applications towards a multidimensional discipline (i.e., One Health), as well as its limitations and future challenges.

Pablo Valdes Donoso, DVM MPVM MS PhD

Assistant Professor of AI in Veterinary Medicine

My research interests include using different data sources to address issues regarding health and economics in food production.