Veterinary AI radiology tools scrutinized in new study

When Dr. Stephen Joslyn and colleagues tested the accuracy of artificial intelligence programs that help veterinarians read radiographs, they discovered that the increasingly popular tools made mistakes. One case was particularly illustrative.

A dog had swallowed a river stone, the object lodging in its small intestine. Joslyn and his team at Murdoch University veterinary school in Australia sent two radiographs of the dog's abdomen to six different AI platforms for analysis; four were based in the United States, one in France and one in South Korea.

This story was published on May 4, 2026.

Show notes:

• External validation of commercial veterinary radiology artificial intelligence services shows deficiencies in interpretation of general practice–sourced canine abdominal radiographs
• Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies
• Commentary: Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies
• Performance of an artificial intelligence convolution neural network software for the detection of confirmed heart failure in dogs and cats