10/01/2024
AI may help horses....
Artificial intelligence (AI) has the potential to improve welfare, enhance diagnostic accuracy, and enhance the relationship between veterinarians and clients.
Below are five applications for horse care that are currently being developed, which are expected to become commonplace in the near future.
1. Health Monitoring: AI-powered systems are using computer vision and machine learning to monitor horses 24/7, detecting signs of distress, abnormal behaviour, or potential health issues, when human eyes are not able to do so.
2. Gait Analysis: AI technology can analyse high-speed videos of horses in action to detect subtle gait changes that may indicate fatigue, minor lameness, or potential performance issues before they cause serious injuries to help trainers and veterinarians make informed decisions about a horse's care and training.
3. Disease Diagnosis: Researchers are developing AI models to support the diagnosis of conditions like inflammatory bowel disease (IBD) in horses. By analysing the gut microbiota composition from f***l samples, these models can potentially provide a non-invasive, cost-effective early screening method.
4. Performance Optimisation: AI enables the analysis of various physiology metrics to optimise training plans and performance objectives in equine sports or for rehabilitation.
5. Early Detection of Ocular Diseases: Deep learning tools have been developed to diagnose conditions like equine recurrent uveitis (ERU) from photographs, enabling earlier treatment and better outcomes.
In the end, the quality of AI outputs will depend on the quality and representativeness of the input data. Therefore, ongoing collaboration between AI developers and equine professionals will be essential to ensure that these tools are trained on diverse, high-quality data that reflects real-world applications.
Do you use any of these AI applications? What are you looking forward to or worried about in the future?