Artificial Intelligence (AI) is starting to become an integral tool in veterinary imaging. At the heart of this technology lies the concept of classifiers—AI models trained to recognize specific patterns or anomalies in imaging studies.

Understanding how classifiers work, their limitations, and how they complement the veterinary workflow is key to appreciating the value AI imaging support brings to patient care.

Classifiers are AI algorithms designed to identify specific features or abnormalities in diagnostic images. For example, a classifier might detect signs of pulmonary patterns, foreign bodies, or changes in organ size. However, it is essential to understand that Vetology’s classifiers generate screening results, not diagnostic conclusions. Their purpose is to aid veterinarians by highlighting potential areas of concern and guiding further investigation or treatment planning.

The effectiveness of a classifier depends entirely on the quality and breadth of its training. In Vetology’s approach, classifiers are trained using what is called a golden set of radiographs. A golden set consists of high-quality imaging studies that have been meticulously reviewed and confirmed by radiologists to feature the specific condition of interest. This ensures that the AI learns from confirmed, representative examples.

For instance, in developing a classifier to detect hepatomegaly in feline patients, we curate a golden set that includes radiographs of cats with confirmed hepatomegaly. This focused training enables the AI to recognize the subtle features specific to the condition in cats, such as changes in liver size or contour. Conversely, for conditions such as fractures, we use images from both dogs and cats to develop a single, cross-species classifier.

When a series of images featuring a lateral and a VD view are uploaded and transferred to our servers, a series of classifiers are initiated, among other things, these initial classifiers determine which classifiers to initiate for the evaluation. Critically, the AI lacks access to clinical context such as the patient’s signalment, history, or laboratory results. This means that while the AI can identify radiographic features consistent with certain conditions, it does not “diagnose” the patient. Instead, its role is to provide a detailed screening report that supports the veterinarian’s interpretation and decision-making process.

For example, if the submitted lateral and VD images are collimated down to the abdomen, classifiers relevant to abdominal structures, such as the liver, spleen, or gastrointestinal tract, will run. The classifiers can identify an enlarged liver, but it doesn’t correlate this with the clinically relevant bloodwork or the owner’s observations that the patient has been deteriorating for a week. The AI report presents its observations, conclusions, and recommendations, leaving the task of interpreting the report and developing a treatment plan firmly in the capable hands and medical expertise of a practitioner.

The AI report isn’t intended to replace the five senses (sometimes six) or skill of a veterinarian any more than x-ray equipment replaces your eyes. The AI report is a clinical support tool; it’s not a board-certified radiologist, although Vetology’s AI was born and raised by radiologists.

Classifiers serve as a powerful tool in the veterinary diagnostic workflow. Consider them as an answer sheet to a multiple-choice test. While the veterinarian remains the ultimate decision-maker, the AI report provides a second opinion, which can:

At Vetology, we are proud to be at the forefront of veterinary AI innovation. Our AI platform leverages a combination of expertly trained classifiers and advanced machine learning techniques to deliver reliable and actionable insights. Recently, Vetology achieved a significant milestone with the approval of a patent for our proprietary AI technology. This recognition underscores our commitment to advancing veterinary medicine through cutting-edge solutions that prioritize patient outcomes and clinical accuracy.

Our classifiers are more than just algorithms; they are the culmination of meticulous training, validation by radiologists, and refinement. By leveraging high-quality data, targeted training methods, and a species-specific approach, Vetology ensures that our classifiers deliver meaningful and reliable results. However, it is important to remember that the AI radiology report is a support tool, not a replacement for veterinary expertise. The best outcomes are achieved when AI and human intelligence work together, combining the precision of machine learning with the nuanced understanding of veterinary professionals.

In the rapidly evolving field of veterinary imaging, classifiers represent a significant step forward in supporting diagnostic accuracy and efficiency. By understanding how classifiers work, their strengths, and their limitations, veterinarians can make informed decisions about incorporating AI into their practice. At Vetology, our mission is to aid veterinary teams with tools and platform support that assist human skills and patient care. Whether you are confirming a diagnosis or planning the next steps in a diagnostic pathway, Vetology’s AI radiology report, board-certified teleradiology team, and customer support team are dedicated to ensuring your success.

The latest update to Vetology’s AI in veterinary radiology enhances its Canine Abdomen Virtual AI Radiology Reports with expanded condition detection, and a refined report format to better support clinical workflows. In this article we’ll go over how:

• Our AI classifiers were retrained and refreshed using client feedback and validated with gold-standard datasets.
• Regular updates improve sensitivity, specificity, and real-world diagnostic reliability.
• New classifiers expand the AI’s ability to detect a wider range of abdominal conditions.
• Reports now feature clearer conclusions, mirroring board-certified radiologist report formatting.
• Vetology AI streamlines workflows, offering faster, more reliable diagnostic support.

Improved Performance on Existing Classifiers

Our current canine abdomen classifiers have undergone rigorous retraining and validation to enhance their accuracy. Here’s how we’ve made them better:

• User Feedback in Action: Direct input through our simple feedback system has been instrumental in guiding our efforts. Coupled with expanded datasets, this process has driven measurable improvements in our AI’s performance.
• “Golden Set” Validation: Each classifier is tested against a gold-standard dataset reviewed by radiologists to ensure accuracy. While our AI is designed to handle real-world variability, clear and well-positioned radiographs consistently yield the best results.
• Sensitivity and Specificity: We use a confusion matrix to evaluate classifier performance and only release updates that meet our strict internal standards for reliability and precision.

Expanded Capabilities = More Value

Our newly updated classifiers significantly broaden the range of conditions our AI can identify. With more actionable insights in each report, you can expect even greater support in your diagnostic workflow.

Refined Report Style

In addition to improved classifiers, we’ve updated the style of our reports to align with the clarity and structure you’ve seen in our recent feline abdomen release. These enhancements provide clearer conclusions and actionable recommendations in a format similar to a board-certified radiologist’s report.

Vetology AI is designed to save you time while supporting better patient outcomes. By incorporating the latest advancements in machine learning and listening to your feedback, we’re making diagnostic support more reliable and comprehensive than ever.

If you’re not already a Vetology client, now is the perfect time to explore how our AI and teleradiology solutions can transform your practice.

Want to see how Vetology AI can alter your diagnostic workflow? Contact us today for a demo of our Virtual AI Radiology Reports and teleradiology services.

We encourage you to share this update with your team and colleagues and join us in advancing veterinary diagnostics together.

This new release takes our AI Radiology Reports to the next level by automating the analysis of feline abdominal radiographs.

Introducing Enhanced AI-driven Conclusions

This enhancement enables our AI to deliver richer, more detailed conclusions in the familiar style of a boarded radiologist’s report, offering actionable insights on screening results. As part of our feline abdomen release, AI report conclusions will include suggested next steps and differential diagnoses when appropriate, providing additional context to the report’s findings.

At Vetology, our AI is continuously evolving. Your feedback — both in-app and in-person — plays a vital role in shaping regular updates and improvements.

In the coming months, you can expect to see matching updates and richer conclusions in our canine abdomen reports.

Move through the diagnostic pathway more swiftly, and Free up valuable time to spend with patients and owners

By offering more contextual observations and fast screening results, our AI acts as a second set of eyes to confirm your own findings and boost your confidence in diagnostic and treatment planning for your patients.

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