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en France , mais aussi à l’étranger !
Artificial Intelligence for Lameness Detection in Horses—A Preliminary Study
Lameness in horses is a long-known issue influencing the welfare, as well as the use, of a horse. Nevertheless, the detection and classification of lameness
Is Markerless More or Less? Comparing a Smartphone Computer Vision Method for Equine Lameness Assessment to Multi-Camera Motion Capture
Computer vision is a subcategory of artificial intelligence focused on extraction of information from images and video. It provides a compelling new means for objective
Using Artificial Intelligence to Predict Fragile Foal Syndrome
Researchers used AI to analyze horse conformation and detected differences between fragile foal syndrome carriers and noncarriers that might have performance implications. Fragile foal
Using AI to Assess Gait Changes in Event Horses
Artificial intelligence technology might be able to assist veterinarians in making recommendations to riders about their horse’s performance. Like many performance horses, those that
Quand l’intelligence artificielle valorise les données d’élevage pour générer de l’information
Gagner 30 jours de décisionnel en élevage laitier, c’est une petite révolution pour le secteur. C’est la première promesse de la valorisation des données récoltées
AI rules vital to build trust, new report warns
The veterinary profession has been urged to move quickly to set guidelines for the appropriate use of AI in practice before it becomes fully established.
New white paper on artificial intelligence in veterinary medicine
VetCT has published a white paper on the use and potential of artificial intelligence (AI) in veterinary medicine. The paper details the current and potential uses of
Liv’Vet vous connecte en vidéo avec un vétérinaire en quelques minutes
La plateforme Liv’Vet vous permet d’être connecté en visio avec un vétérinaire pour comprendre ce qui ne va pas chez votre animal. Les vétérinaires donnent
AI-Powered Imaging: Revolutionizing Veterinary Radiology
The field of veterinary radiology is experiencing a revolution, thanks to the rapid advancements in artificial intelligence (AI) and machine learning technologies. AI-powered imaging is