Vetology Expands Public AI Validation Dashboard to 11 Metrics Per Classifier, Commits to Ongoing Model Retraining

Company publishes full statistical profiles for 89+ classifiers, reinforcing that building AI is only half the job.

SAN DIEGO, April 1, 2026 /PRNewswire/ -- Vetology, a provider of AI-generated radiology screening reports and board-certified veterinary teleradiology, today expanded its publicly available AI performance dashboard from four metrics per classifier to eleven. The update covers 89+ validated classifiers across canine and feline thoracic, abdominal, and musculoskeletal imaging.

The dashboard now reports sensitivity, specificity, PPV, NPV, AUC, F1 score, accuracy, prevalence, confidence intervals, and Radiologist Agreement Rate for each condition at vetology.net/ai-classifier-performance.

Of the 89+ classifiers currently published, 31 are retrained models that were originally released, then revalidated against updated board-certified radiologist consensus data. All classifiers have been revalidated with confusion matrices generated as recently as February 2026.

"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."

 — Eric Goldman, President, Vetology

New classifiers in this update include Obscuring Pleural Effusion, Esophageal Enlargement, Intervertebral Disc Disease (Thoracic), Small Intestine Enlargement (Feline), Colon Diffuse Distension (Feline), and a consolidated Heart Failure classifier for canine imaging.

"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. That's why we publish eleven metrics per classifier instead of the one or two you'll see from other vendors — sensitivity by itself doesn't tell a clinician whether to trust a result. PPV, confidence intervals, specificity — that's what lets a veterinarian decide how much weight to put on what the model is telling them. We think that level of transparency should be the baseline for veterinary AI. As far as we can tell, nobody else is publishing it."

— Cory Clemmons, CTO, Vetology

Vetology's validation data is built on a foundation of 300,000 multi-image patient cases. According to a 2026 Frontiers in Veterinary Science audit, 63.3% of commercial veterinary AI vendors disclose no validation data publicly.

ABOUT VETOLOGY

Vetology provides AI-generated radiology screening reports and on-demand teleradiology from board-certified veterinary radiologists, cardiologists, and a dentist. The AI screening system covers a growing list of conditions across canine and feline thoracic, abdominal, and musculoskeletal imaging, designed to fit naturally into existing clinic workflows. Learn more at vetology.net.

Media Contact:

Vetology AI
888.416.2124
Email: [email protected] 
Web: https://vetology.net

SOURCE Vetology AI