Source: SCI AM

Researchers have developed two machine-learning algorithms to detect pain in cats based on their facial expressions. Unlike dogs, cats are adept at hiding their feelings, making it challenging for owners and veterinarians to assess their pain. The automated systems achieved up to 77% accuracy in judging whether cats were in pain.

The algorithms examined facial muscle contractions using “landmarks” around the ears, eyes, and mouth. One algorithm reached 77% accuracy, while the other, using deep-learning methods, achieved 65% accuracy. The study lays the foundation for a mobile app that veterinarians and cat owners can use to automatically detect pain in cats by snapping a photograph.

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