🧪 Signs of pain in horses are observable. Could AI systems enhance or replace human observations of horses experiencing pain? Revent research by Lencioni et al demonstrated that their system could classify between pain/no pain with overal accuracy of 88.3% journals.plos.org/plosone/arti...
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Pain assessment in horses using automatic facial expression recognition through deep learning-based modeling
The aim of this study was to develop and evaluate a machine vision algorithm to assess the pain level in horses, using an automatic computational classifier based on the Horse Grimace Scale (HGS) and ...