The Role of AI Algorithms in Detecting Pain in Animals: A Breakthrough in Veterinary Health
240 / 109
Authors
-
Nikhil Talgeri
Industry, Covetrus INC, USA
Keywords:
AI Algorithms, Pain, AnimalsAbstract
In recent years, the integration of artificial intelligence (AI) into various fields has been nothing short of transformative. Veterinary medicine, traditionally reliant on the expertise and intuition of professionals, is no exception to this revolution. One of the more challenging aspects of veterinary care is accurately assessing pain in animals—a task complicated by their inability to verbalize discomfort. The use of AI algorithms in detecting pain in animals is emerging as a pivotal development, enabling more accurate, objective, and timely diagnosis. This article delves into the mechanisms behind AI’s role in veterinary pain detection, its practical applications, challenges, and potential future impact.
Downloads
References
https://vetfocus.royalcanin.com/en/scientific/pain-assessment-in-the-dog-the-glasgow-pain-scale
Keller GG, Reed AL, Lattimer JC, Corley EA. Hip dysplasia: a feline population study. Vet Radiol Ultrasound. 1999;40(5):460-464. doi:10.1111/j.1740-8261.1999.tb00375.x
Loder RT, Todhunter RJ. Demographics of hip dysplasia in the Maine Coon cat. J Feline Med Surg. 2018;20(4):302-307. doi:10.1177/1098612X17705554
Low M, Eksell P, Högström K, Olsson U, Audell L, Ohlsson Å. Demography, heritability and genetic correlation of feline hip dysplasia and response to selection in a health screening programme. Sci Rep. 2019;9(1):1-9. doi:10.1038/s41598-019-53904-w
