AI Transforms Veterinary Diagnosis
Artificial vision applied to veterinary medicine represents one of the most promising advances of the decade. Using convolutional neural networks (CNN), AI systems can analyze X-rays, ultrasounds, and other medical images with unprecedented accuracy.
Early Detection Saves Lives
An AI model trained on thousands of veterinary images can identify patterns that would take years of experience for a human professional to recognize. From early tumors to subtle bone fractures, computer vision democratizes access to expert-level diagnosis.
Practical Integration
The key is not to replace the veterinarian but to provide them with a «second opinion» available 24/7. The systems we develop integrate directly into the diagnostic workflow, providing analysis in seconds without disrupting the consultation.
Learn more about our research on AI in veterinary medicine.
