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The future of AI for livestock veterinary practice

02 November 2023
6 mins read
Volume 28 · Issue 6
 There is great potential for autonomous AI algorithms in reducing labour demands for veterinarians and farmers.
There is great potential for autonomous AI algorithms in reducing labour demands for veterinarians and farmers.

Abstract

Artificial intelligence is a hot topic at present, although there is some confusion about what it involves. Translating artificial intelligence technology into production animal veterinary practice has the potential to transform how veterinary surgeons operate. The farm veterinarians of the future will no doubt require additional tools and skills that leverage advances in artificial intelligence for the improvement of animal health, welfare and productivity.

The use of artificial intelligence (AI) algorithms has become normalised in our everyday lives, from filtering our spam emails (Guzella and Caminhas, 2009) and suggesting which films to watch on Netflix (Koren, 2009; Töscher et al, 2009) to the advent of semi-autonomous vehicles (Ingle and Phute, 2016). The possibility to translate AI technology into production animal veterinary practice is extremely exciting and has the potential to transform how we operate as veterinary surgeons. The role of the farm animal veterinarian has evolved greatly over the last few decades, with a shift from routine procedures (such as disbudding) to a more preventative management role through the use of big data in cattle practice (Hudson et al, 2018). The list of critical farm animal veterinary equipment has shifted from having a disbudding iron in the car, to needing a laptop for herd health data analysis, and the farm vet of the future will no doubt further evolve to require additional tools and skills that leverage advances in AI for the improvement of animal health, welfare and productivity.

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