Russia: Artificial intelligence helps veterinarians identify pig lung lesions

게시됨 2021년 11월 21일

Tridge 요약

A new tool from Hipra called AI Diagnos is set to revolutionize the detection, tracking, and evaluation of lung lesions associated with enzootic pneumonia in pigs, replacing the time-consuming and subjective method previously reliant on highly skilled technicians at the slaughterhouse. This innovative solution uses over 11,000 images to achieve an accuracy of 85% in identifying and assessing lesions, supporting decisions on vaccine efficacy and offering a more objective approach to monitoring pig health.
면책 조항: 위의 요약은 정보 제공 목적으로 Tridge 자체 학습 AI 모델에 의해 생성되었습니다.

원본 콘텐츠

A smart tool from Hipra can detect, track and evaluate lung lesions associated with enzootic pneumonia. The intelligent system can keep record of lesions objectively based on images of the lungs and nasal cavity of animals, pigprogress.com reports. Evaluation of pulmonary lesions compatible with enzootic pneumonia is one of the methods for assessing morbidity in pig farms, and it is the first method for evaluating the efficacy of vaccines against Mycoplasma Hypneumonia (Mhyo). Until now, highly qualified specialists were required to monitor the extent of lung damage. These technicians had to be present at the slaughter line, with attendant restrictions, to be able to manually and individually inspect each lung and maintain a paper or electronic record. This process is undoubtedly slow and time consuming, and even if performed by qualified personnel, the inconsistency of lung assessments performed by different technicians shows that it is a subjective process based on human ...
출처: Agroxxi

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