This study compares the effectiveness of Artificial Intelligence (AI) against human experts in assessing acute pain in sheep, utilizing video recordings and photographs from 48 sheep undergoing surgery. The research specifically evaluates AI’s performance using facial expression analysis (SFPES) and behavioral scoring (USAPS), which is considered the “golden standard.” Findings indicate that the AI significantly outperformed humans in facial pain recognition and equaled human performance in behavioral pain assessment, despite only having access to facial images. The authors suggest these results have substantial implications for clinical veterinary practice, proposing that AI could transform animal pain assessment by offering a more objective and less biased method than traditional human scoring.
Non-Invasive Computer Vision-Based Fruit Fly Larvae Differentiation: Ceratitis capitata and Bactrocera zonata
This paper proposes a novel, non-invasive method using computer vision
