Vetology Enhances AI Tools with Expanded Metrics for Improved Veterinary Care

In a significant advancement for veterinary diagnostics, Vetology has announced an expansion of its public AI validation dashboard from four key performance metrics to an impressive eleven metrics per classifier. This update, aimed at enhancing transparency and effectiveness for veterinary professionals, now includes statistical profiles for over 89 validated classifiers used in diagnosing conditions in canine and feline patients.

These newly expanded metrics encompass essential performance indicators such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), area under the curve (AUC), F1 score, accuracy, prevalence, confidence intervals, and the Radiologist Agreement Rate. By making this wealth of information available at vetology.net/ai-classifier-performance, Vetology emphasizes its commitment to advancing veterinary AI technology and improving patient care.

The Importance of Validation and Retraining

Among the 89 classifiers available, 31 are retrained models that have been rigorously updated against the latest consensus data from board-certified radiologists. This retraining process ensures that the classifiers remain reliable and up to date with the latest knowledge and practices in veterinary radiology. The confusion matrices for these classifiers have been generated as recently as February 2026, reinforcing Vetology’s commitment to accuracy and relevance in its AI offerings.

Eric Goldman, President of Vetology, stated, "The AI field is changing fast, and we are working just as hard to keep pace. We put the same rigor into maintaining our older models as we do into building new ones. Publishing the data for all of them, new and retrained, is how we honor our commitment to our veterinary partners and patients." This dedication to transparency serves as a reassurance to veterinarians, providing them with the data needed to understand and trust the AI’s outputs.

New Classifiers to Assist Veterinarians

This recent update also introduces several new classifiers, including those for detecting conditions such as Obscuring Pleural Effusion, Esophageal Enlargement, Intervertebral Disc Disease (Thoracic), and Small Intestine Enlargement (Feline). A consolidated Heart Failure classifier for canine patients has also been implemented. With these additions, Vetology continues to expand its repertoire of diagnostic tools, enhancing the ability of veterinary professionals to diagnose and treat their patients effectively.

Cory Clemmons, the Chief Technology Officer at Vetology, remarked, "We're improving our classifiers every month, and every update is revalidated against fresh consensus reads from board-certified radiologists – not the same training set warmed over. Our comprehensive approach of publishing eleven metrics per classifier instead of the one or two commonly provided by other vendors gives clinicians the clarity needed to trust the AI’s results to varying degrees. We believe this level of transparency should be the baseline in veterinary AI, and, as far as we can tell, nobody else is publishing it."

A Commitment to Excellence in Veterinary AI

Vetology's validation process is remarkably thorough, grounded in a foundation of over 300,000 multi-image patient cases. According to a 2026 audit by Frontiers in Veterinary Science, approximately 63.3% of commercial veterinary AI vendors do not disclose any validation data publicly, a statistic that sets Vetology apart in a competitive market.

By providing such detailed performance data, Vetology not only enhances its service offerings but also sets new industry standards for transparency and reliability in veterinary diagnostics. Their AI-generated radiology screening reports and on-demand teleradiology services from certified veterinary specialists aim to integrate seamlessly into existing clinic workflows. As the veterinary field continues to evolve, innovations like those from Vetology serve to enrich the quality of care provided to animal patients, improving outcomes for both veterinarians and their furry clients.

For further information, visit vetology.net.