Radiology, Ultrasound, and Derm: AI Moves Into the Veterinary Imaging Suite

Imaging data has properties that make it a natural fit for AI. It's inherently digital, produced in large volumes, and involves the kind of spatial pattern recognition that machine learning handles well. This is why medical imaging was one of the first clinical areas where AI showed real promise — and why veterinary imaging is following a similar path, with a lag that reflects the smaller scale of the veterinary market rather than any fundamental barrier.