The application of artificial intelligence to canine companions involves utilizing computational methods to analyze, interpret, and even predict aspects of their behavior, health, and well-being. One example is using machine learning algorithms to identify subtle changes in a dog’s gait, potentially indicating early signs of arthritis.
The increasing interest stems from a desire to enhance understanding of canine needs and improve their quality of life. By leveraging AI, owners and veterinarians can gain valuable insights leading to more personalized care, earlier detection of health issues, and more effective training strategies. Historically, observations and traditional veterinary methods were primary tools; AI now offers a complementary, data-driven approach.