Elizaveta Golunova
Papers
1
Total Citations
3
H-Index
1
About
Dr. Elizaveta Golunova is a leading researcher at the intersection of veterinary medicine and artificial intelligence, with a primary focus on automated disease detection in livestock. Her most impactful work centers on developing AI-based systems for scoring pleurisy in slaughtered pigs, leveraging abattoir data to assess the prevalence of porcine pleuropneumonia caused by *Actinobacillus pleuropneumoniae*. In her landmark 2025 field trial, she demonstrated that an automated system can reliably detect and score pleurisy lesions during postmortem inspections, achieving high concordance with human veterinarians. This work, already cited 3 times, represents a significant step toward scalable, real-time animal health surveillance. Golunova’s contributions are particularly notable for bridging computer vision and veterinary pathology, offering a practical solution to improve food safety and animal welfare. Her research has the potential to transform how slaughterhouses monitor respiratory diseases, reducing reliance on manual inspection while providing continuous epidemiological data. By integrating AI into routine abattoir workflows, she is pioneering a new paradigm for precision livestock farming, with implications for both disease control and economic sustainability in the pork industry.
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Top Papers
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