Vetology Innovations announced the public release of complete performance metrics for all 89+ classifiers across its diagnostic platform, making it the first and only AI company in the veterinary imaging space to provide this level of transparency.

The move directly addresses concerns raised in the American College of Veterinary Radiology (ACVR) and European College of Veterinary Diagnostic Imaging (ECVDI) position statement[1], which identified "the lack of transparency and validation for AI tools currently available for veterinary diagnostic imaging" as a key challenge—and concluded that "there is currently no commercially available product for diagnostic imaging that meets these standards."

"We're changing that," said Eric Goldman, President of Vetology AI. "Complete transparency isn't a competitive advantage we're protecting, it's a professional obligation we're fulfilling."

What's Now Public

Available at https://vetology.net/ai-classifier-performance/, the data includes condition-level sensitivity, specificity, and sample sizes across 300,000 test cases covering Vetology's canine thorax, canine abdomen, feline thorax, feline abdomen, and spine/musculoskeletal classifiers.

The data includes both high performers—like the heart failure classifier with 89.5% sensitivity across 10,951 cases—and more challenging applications where AI serves as a decision support tool requiring professional expertise to interpret.

Why This Matters

Vetology welcomes collaboration with researchers, board-certified radiologists, general practitioners, and regulatory bodies. The company has partnered with institutions including AMC New York and Tufts University on peer-reviewed studies available at vetology.net/clinical-evidence, and invites independent validation efforts.

"We're releasing our performance data so veterinarians can make confident decisions in everyday practice and so the industry can establish clear standards for AI in veterinary imaging," said Cory Clemmons, Chief Technical Officer. "Transparency is how we build trust today and a better future for patient care."

A Call to the Industry

"Every imaging AI company will eventually publish performance data, either voluntarily or when regulators require it," Goldman said. "We're choosing to lead because transparency accelerates trust, and trust accelerates adoption of tools that genuinely help patients and practitioners."