Researchers have succeeded in creating a new artificial ielligence that can detect the pain of goats by analyzing their faces. This detection method has shown high accuracy so far.
Since animals cannot speak, they cannot communicate with humans and tell them their pain. But there are ways to ideify signs of pain in animals; For example, animals may communicate pain through unpleasa cries or may not eat as usual. Of course, deciding whether an animal is truly in pain or not is not easy and requires years of animal care experience.
This artificial ielligence has relatively high accuracy in detecting animal pain
According to Phys, researchers from the University of Florida College of Veterinary Medicine have been able to ideify pain in goats with relatively high accuracy using a special artificial ielligence algorithm. First, they filmed the faces of 40 goats, some of which were in pain and some of which were healthy. These videos were fed to a special artificial ielligence model that learned to recognize pain by facial expressions.
Ludovica Chiavachini, clinical associate professor of anesthesiology at the University of Florida College of Veterinary Medicine, said:
“It’s not just an animal welfare issue. We know that animals in pain do not gain weight and are less productive. You could imagine farmers having some kind of app on their cell phone that would allow them to quickly evaluate a large number of goats to see which ones need further inspection without having to stop them or have to slowly manually evaluate each animal. do or wait for the problems to become more severe.
It is said that this artificial ielligence algorithm can detect pain with 62-80% accuracy just by analyzing goats’ faces. More data is needed to improve the accuracy of this algorithm, but if doctors can more easily diagnose pain in non-verbal paties without relying on experience, it will have significa implications for doctors.
