Comparison between AI and human expert performance in acute pain assessment in sheep

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Autor(es): dc.contributorUniversity of Haifa-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorNorth Carolina State University-
Autor(es): dc.contributorNorthumbria University-
Autor(es): dc.creatorFeighelstein, Marcelo-
Autor(es): dc.creatorLuna, Stelio P.-
Autor(es): dc.creatorSilva, Nuno O.-
Autor(es): dc.creatorTrindade, Pedro E.-
Autor(es): dc.creatorShimshoni, Ilan-
Autor(es): dc.creatorvan der Linden, Dirk-
Autor(es): dc.creatorZamansky, Anna-
Data de aceite: dc.date.accessioned2025-08-21T21:44:52Z-
Data de disponibilização: dc.date.available2025-08-21T21:44:52Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2025-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1038/s41598-024-83950-y-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/298357-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/298357-
Descrição: dc.descriptionThis study explores the question whether Artificial Intelligence (AI) can outperform human experts in animal pain recognition using sheep as a case study. It uses a dataset of N = 48 sheep undergoing surgery with video recordings taken before (no pain) and after (pain) surgery. Four veterinary experts used two types of pain scoring scales: the sheep facial expression scale (SFPES) and the Unesp-Botucatu composite behavioral scale (USAPS), which is the ‘golden standard’ in sheep pain assessment. The developed AI pipeline based on CLIP encoder significantly outperformed human facial scoring (AUC difference = 0.115, p < 0.001) when having access to the same visual information (front and lateral face images). It further effectively equaled human USAPS behavioral scoring (AUC difference = 0.027, p = 0.163), but the small improvement was not statistically significant. The fact that the machine can outperform human experts in recognizing pain in sheep when exposed to the same visual information has significant implications for clinical practice, which warrant further scientific discussion.-
Descrição: dc.descriptionDepartment of Information Systems University of Haifa-
Descrição: dc.descriptionSchool of Veterinary Medicine and Animal Science Sao Paolo State University (Unesp)-
Descrição: dc.descriptionDepartment of Population Pathobiology North Carolina State University-
Descrição: dc.descriptionDepartment of Computer and Information Sciences Northumbria University-
Descrição: dc.descriptionSchool of Veterinary Medicine and Animal Science Sao Paolo State University (Unesp)-
Idioma: dc.languageen-
Relação: dc.relationScientific Reports-
???dc.source???: dc.sourceScopus-
Título: dc.titleComparison between AI and human expert performance in acute pain assessment in sheep-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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