Vetology Rebuilds AI Classifiers for Veterinary Radiology

SAN DIEGO, Sept. 18, 2026 /CourierPR/ -- Vetology, a veterinary diagnostic imaging support company, has completed a significant overhaul of its artificial intelligence (AI) classifiers, rebuilding and re-releasing all 94 models on a new architecture. The company’s data science team initiated the project in June and completed it by August, a process that took just two months.

According to Anthony Lutz, Manager of Data Science at Vetology, the team made a radical shift in the model architecture.

Eric Goldman, President of Vetology, emphasized the company’s commitment to transparency and continuous improvement. "We believe in being fully transparent about how we develop our AI. That means actively following the published recommendations of accredited institutions and professional bodies, and building continuous feedback loops directly into our platform."

The company’s performance data for the classifiers is now published and available for independent researchers to test. In March 2025, a joint ACVR and ECVDI position statement in JAVMA named transparency, error reporting, post-implementation monitoring, and unbiased third-party evaluation as conditions for veterinary AI worth trusting. A pilot study in the same journal a year later evaluated six commercial veterinary radiology AI services on general practice canine abdominal radiographs and reported low to moderate performance.

Vetology’s AI screening reports are designed to support the veterinarian’s own diagnosis and treatment plan. Cases that require further attention can be routed to the company’s board-certified radiologists. Pierre D'Amours, Vice President of Sales at Vetology, stated, "The question I get most is whether the AI report takes the decision away from the veterinarian. It doesn’t. The report is one input, it’s like asking a colleague to take a look. The diagnosis, the plan, and the conversation with the owner all still rely heavily on the veterinarian’s skill and expertise."

The company’s focus on accuracy, speed, and reliability in diagnostic imaging is evident in its commitment to continuous improvement. Vetology’s platform is designed to integrate seamlessly into existing hospital workflows, helping clinicians make informed decisions quickly. The rebuild of the AI classifiers is part of the company’s ongoing efforts to support veterinarians and improve patient outcomes.