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Vetology Expands Public AI Validation Dashboard to 11 Metrics Per Classifier
Company publishes full statistical profiles for 89+ classifiers, reinforcing that building AI is only half the job.
Apr. 1, 2026 at 1:08pm
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Vetology, a provider of AI-generated radiology screening reports and board-certified veterinary teleradiology, has 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, with 31 of those being retrained models that were revalidated against updated board-certified radiologist consensus data.
Why it matters
Vetology's commitment to transparency and ongoing model retraining sets a high bar for the veterinary AI industry, where many vendors disclose little to no validation data publicly. The expanded dashboard provides veterinarians with a comprehensive view of each classifier's performance, allowing them to make more informed decisions about trusting the AI's recommendations.
The details
The dashboard now reports sensitivity, specificity, PPV, NPV, AUC, F1 score, accuracy, prevalence, confidence intervals, and Radiologist Agreement Rate for each condition. 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.
- Vetology expanded its AI performance dashboard on April 1, 2026.
- All classifiers have been revalidated with confusion matrices generated as recently as February 2026.
The players
Vetology
A provider of AI-generated radiology screening reports and board-certified veterinary teleradiology.
Eric Goldman
The President of Vetology.
What they’re saying
“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
“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.”
— Eric Goldman, President, Vetology
What’s next
Vetology plans to continue expanding its AI classifier library and revalidating existing models on an ongoing basis to ensure veterinarians can trust the accuracy and reliability of the AI-generated radiology screening reports.
The takeaway
Vetology's commitment to transparency and continuous model improvement sets a new standard for the veterinary AI industry, providing veterinarians with the comprehensive data they need to confidently incorporate AI-powered radiology screening into their practices.
