Vetology Rebuilds 94 Veterinary Radiology AI Classifiers

Sep 19, 2026
Vetology rebuilt its 94 veterinary radiology classifiers using a new architecture that analyzes information within individual images and across linked images in a study.
Vetology Rebuilds 94 Veterinary Radiology AI Classifiers
Image: Vetology Innovations via PR Newswire , Vetology Innovations via PR Newswire

Vetology Innovations rebuilt and released all 94 of its AI radiology classifiers on a new model architecture between June and August, the company stated in a press release. The models analyze information within individual images and across linked images in a study.

John Mattoon and Jennifer Gambino, diplomates of the American College of Veterinary Radiology, provided contextual guidance during the rebuild. Vetology says it applied a higher performance standard and uses feedback loops and validation by board certified radiologists.

The classifiers generate screening reports that support veterinarians with diagnosis and treatment planning. Practices can send cases that need further review to Vetology's board certified veterinary radiologists.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Guide
Specialist Ambient Medical Scribe Vendors

Specialist Ambient Medical Scribe Vendors

AI scribes that turn medical consultations into draft clinical notes

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.