How AI is helping get veterinary radiology results faster

It’s no secret most veterinarians are swamped with more work than they can complete in a day. Specialty radiologists face the same problem. As more and more veterinarians send radiographs to specialists for interpretation, the workload keeps growing and there aren’t enough specialists in the field to handle it.

In fact, one study predicted by 2022, 66 percent of the teleradiology caseloads won’t be met.1 What if computers could be trained to think like humans, creating an extension of the veterinary team to get more done in less time? That’s the power of artificial intelligence (AI).
Why add AI to veterinary medicine?
AI is increasingly being used in other industries to get more done with less, so we see the same promise for vete...