Free AI Radiology Screening for Vet and Tech Schools

Free AI Radiology Screening for Vet and Tech Schools

by | Nov 2, 2026 | AI Software, News

FOR IMMEDIATE RELEASE

Vetology Invites Veterinary Schools and Veterinary Technology Programs to Use Its AI Radiology Screening Free of Charge

Students can check their positioning and interpretation against an AI screening report on each study they submit.

SAN DIEGO, November 2, 2026 — Vetology Innovations (Vetology), which provides AI screening reports and teleradiology consultations for veterinary practices, today opened its AI screening subscription to veterinary schools and veterinary technology programs free of charge.

More than 163 million dogs and cats live in US households.¹ Only about 1,100 veterinarians hold a board certification in diagnostic imaging through the ACVR or ECVDI.² That’s roughly one for every 150,000 dogs and cats, before counting horses, birds, exotics or any other species. Specialist training takes years, and that gap isn’t closing quickly enough.

“As a radiologist-owned company, we care deeply about the diagnostic imaging needs of busy clinicians. It’s important to us that the tools we build serve veterinary teams today and in the years to come. We value your professional input, and we want the relationships we form to be part of the road ahead.”
— Eric Goldman, President, Vetology

Students whose education includes the latest imaging technology will gain skill in evaluating how and when AI belongs in their clinical workflow, while instructors are on hand to answer questions and guide their approach. They will carry that judgment into practice as AI screening becomes more common in veterinary imaging.

Each study a student submits builds three key skills: patient positioning, radiograph interpretation, and cross-referencing reports against the images and patient signalment. A well-positioned, well-exposed study produces a more useful report, so students see the effect of their technique case by case. For students who learn best by doing rather than by reading or listening to lectures, comparing the AI report with the images and with their own interpretation offers a hands-on way to build those skills.

Vetology is also soon to be releasing another tool that will support students as they develop their imaging skills. “Perfect Shot” is designed to gently point out a missing view or a positioning issue while there’s still time to retake. A case list also lets users work through flagged studies, which suits programs that teach image quality as its own skill. Perfect Shot is coming soon, and Vetology will announce availability closer to release. It will be included as a free add-on when available.

The free subscription covers Vetology’s AI screening reports; teleradiology services are available, but applicable fees apply. Deans, program directors and imaging faculty can reach us at vetology.net/contact-us.

 

# # #

¹ AVMA, 2025 Pet Ownership and Demographics Sourcebook.

² AVMA, Veterinary Specialists in the U.S., Dec. 31, 2025 (American College of Veterinary Radiology, excluding radiation oncology); European College of Veterinary Diagnostic Imaging, ecvdi.org.

Media Contacts

Thanks for reading! If you’d like to learn more or have any questions, we’d love to hear from you.

Contact Us

ABOUT VETOLOGY

Vetology provides AI-generated radiology screening reports and on-demand teleradiology consultations from board-certified and board-eligible veterinary radiologists, giving veterinary practices both speed and specialist depth in a single platform. The Vetology AI screening system runs 94 classifiers across canine and feline thoracic, abdominal, and musculoskeletal imaging, built on a foundation of 300,000 multi-image patient cases, with performance data for every classifier published publicly. Results are designed to fit naturally into existing clinic workflows. Vetology was founded on the belief that humans and AI are better together. Learn more at vetology.net.

3 Aspects of Veterinary Imaging Workflow Support Covered

3 Aspects of Veterinary Imaging Workflow Support Covered

by | Oct 30, 2026 | AI Software, Services-Support, Veterinary Radiology

How Vetology Supports Your Clinic’s Imaging Workflow at Three Levels

TL;DR: Vetology supports a clinic’s imaging workflow at three levels. AI screening reports are the first line: they give the veterinarian a check on canine and feline thorax, abdomen, thoracic and lumbar spine, and pelvis radiographs in under five minutes. Order a board-certified or board-eligible radiologist report when patient care calls for more detail or information.  Behind both, Vetology’s team handles setup, provides a cloud PACS at no additional cost, team training, and ongoing support, so our team can unburden yours from the admin work associated with imaging workflows.

Diagnostic imaging involves team members across the clinic. A technician positions the patient and takes the radiographs. A veterinarian interprets them and talks through a plan with the family. And someone manages and maintains the equipment connections, the image archive, and ensures the team are trained and safe. Vetology supports each of these roles in different ways.

Level one: AI screening as the first line

When a patient with a cough comes in, a technician may take lateral and VD thoracic radiographs. The images go to Vetology automatically from the clinic’s existing X-ray system through DICOM autosend. In under five minutes, an AI screening report is ready, as a PDF by email or in the platform. The veterinarian can check their own interpretation against it before talking through a plan with Duke’s family, while they’re still in the room.

The subscription includes unlimited AI screening reports, so nobody has to weigh a per-case cost in the exam room.

AI screening reports cover canine and feline radiographs of the thorax, abdomen, thoracic and lumbar spine, and pelvis, using 94 classifiers. We publish sensitivity and specificity for each classifier on our AI classifier performance page, so your team can check performance and species-specific classifiers for the conditions your clinic sees most.

steps to receive an AI report include autosending images and auto receiving reports within minutes, all while the patient is in the room.

Level two: teleradiology for additional patient support

Sometimes a treatment plan calls for additional specialist support: a study the AI doesn’t cover, a finding the veterinarian wants confirmed, or a patient who needs a radiologist’s (or cardiologist’s) report to support a complex treatment plan or ongoing care management. Using the same images and the same platform, the clinic can order a teleradiology report from Vetology, and a board-certified or board-eligible radiologist will review the study independently of the prior AI report.

Teleradiology covers every region and modality – thorax, abdomen, musculoskeletal system, skull, cervical, thoracic and lumbar spine, and limb radiographs, ultrasound, CT, MRI, dental, and cardiology studies. Single-region radiograph reports start at $86, ordered per case with no volume minimum. STAT reports come back in about two hours when sent on weekdays between 8 a.m. and 6 p.m. Pacific, and routine radiograph reports in about 24 hours. Clinics using CoVet, Scribblevet and soon HappyDoc can order with one click. Ask about our PMS integrations.

A clinic that already works with a teleradiology provider can add AI screening without changing providers.

Level three: back-office support, from your team to ours

The work behind imaging appears invisible, but it’s real and someone at the clinic owns it. They connect the equipment, manage the image store, trouble shoot issues, train the new hire, and field the questions nobody else in the building can answer. Vetology’s team can take much of that off their hands.

  • Setup and training. Setup is available through a guided 45- to 60-minute call. We help set up autosend from the clinic’s existing equipment, confirm images are coming through, and train the team on the platform. No new hardware is needed, and we train new hires free.
  • Storage and prior studies. Cloud PACS and long-term storage are included, and prior studies open from any device. Images from a previous system can be moved over for a one-time fee.
  • Support from people who know imaging. The team can reach us by phone, email, or in-platform chat, and a person answers. Our team includes veterinary radiologists, veterinary technicians, customer support staff, data scientists, and engineers, so a question about a study or a connection goes to someone who can answer it. When no colleague is free to talk through a case, contact us and we’ll ask our in-house radiologists for guidance, often at no extra charge.
  • Resources and integrations. The platform’s resources menu includes positioning and exposure primers for the team. We also turn on integrations with DaySmart Vet, VetRocket, CoVet, and ScribbleVet, with more on the way.
Vetology offers all the built in services your team needs for a complete imaging workflow

What it costs and how to start

The AI subscription is (at the time of this writing) $200 a month, with no contract. It includes unlimited AI screening reports on the covered regions, plus cloud PACS, storage, training, and support. Teleradiology is billed per case, only when the veterinarian orders it. More on our pricing.

Book a demo and we’ll get your clinic installed and your team trained, so your  patients diagnostic imaging needs are supported.

Book a Demo and Install Same Day

To tour the platform and learn more, contact our team, or book a demo for a firsthand look at our AI and teleradiology platform. Installation is quick, so if you're ready, we are too!

Rebuilding All 94 Veterinary Radiology AI Classifiers

Rebuilding All 94 Veterinary Radiology AI Classifiers

by | Oct 2, 2026 | AI Software, Data Science

TL;DR

We rebuilt all 94 of our AI classifiers on a new model architecture between June and the end of August 2026, releasing each to clinics as they cleared our internal benchmarks.

Ten performance measures are also available online for every classifier at vetology.net/ai-classifier-performance. The video below highlights how to use the information and features on that page.

Between June and the end of August 2026, we rebuilt all 94 of our AI classifiers on a new model architecture and re-released them. The library was updated in stages rather than in one switchover, so each rebuilt classifier was available to clinics as soon as it had cleared our internal benchmarks for production. There was nothing to install, and the clinic workflow wasn’t impacted. 

Watch: How to use the AI classifier performance page

Watch this two-and-a-half-minute video to see how to find the classifier behind any conclusion on your AI Screening Report, and how to weigh that conclusion against what you know about the patient. It covers searching by a common word or a medical term, filtering by species or body region, plain-language explanations of each metric, and the full details for any classifier, including its confusion matrix.

What the new models look at

The new models interpret the images in a study as a whole rather than one at a time. That approach more closely matches how a radiologist reads a case.

We’ve been building and retraining classifiers since 2021. This release was different because every classifier was rebuilt on new architecture and held to a higher internal benchmark than the previous iterations.

Rebuilding all 94 in one stretch ensured the library is both internally consistent and ready for a new generation of report styles, order forms and integrations.

Ten metrics published per classifier

We publish at least ten performance measures for each classifier, including sensitivity, specificity, positive and negative predictive value, likelihood ratio, accuracy, prevalence, cases checked, and the positive and negative ground truth counts.

  • Sensitivity and specificity describe how the classifier behaved on the set it was measured against.
  • The predictive values answer a different question, which is what a positive or a negative result means for the patient on the table.
  • Those values depend on sensitivity and specificity together with how common the condition was in that measured set, so we publish prevalence next to them.

Performance is not uniform across conditions, which is why we publish the numbers condition by condition rather than as a single headline figure.

Published numbers and professional context

In March 2025, the American College of Veterinary Radiology and the European College of Veterinary Diagnostic Imaging published a joint position statement on artificial intelligence in JAVMA. It named transparency, error reporting, post-implementation monitoring, and unbiased third-party evaluation as conditions for veterinary AI worth trusting. A pilot study in the same journal a year later evaluated six commercial veterinary radiology AI services on general practice canine abdominal radiographs and reported low to moderate performance.

Whether a given tool satisfies what the colleges named is their judgment to make, not ours. We publish our numbers so that judgment can be made on evidence. Every figure on the AI classifier performance page belongs to a model running on live cases today, and the page has been public since January 2026. We also have an open invitation to independent researchers to test those numbers.

New classifiers will be released on a monthly cadence going forward, and we’ll update the page to reflect our most up-to-date performance metrics. The AI screening report is one input into a diagnosis and treatment plan. It is automatically generated within minutes of autosending your radiographs. It does not have access to patient history, presentation or your clinical concerns.

Current figures for every classifier: vetology.net/ai-classifier-performance

Want to see AI in action?

To tour the platform and learn more, contact our team, or book a demo for a firsthand look at our AI and teleradiology platform.

Vetology Rebuilds All 94 AI Classifiers in Two Months

Vetology Rebuilds All 94 AI Classifiers in Two Months

by | Sep 16, 2026 | News

FOR IMMEDIATE RELEASE

 

The company replaced the architecture behind its screening system, staging the rollout so classifiers in production were replaced as they cleared new internal quality benchmarks.

September 16, 2026 – SAN DIEGO, CA – Vetology, which provides AI radiology screening and on-demand teleradiology consultations to veterinary practices, has rebuilt and re-released all 94 classifiers on a new model architecture, completing the work between June and the end of August. Going forward, new classifiers will be added to the platform on a regular monthly cadence.

The live classifier library was updated in stages rather than in a single switchover. Clinics received each improvement as it cleared internal benchmarks for deployment into production. The net effect was an uninterrupted workflow, with no installations or updates to manage.

Vetology’s position is that our AI image screening tool earns its place in a practice tech stack by being reliable. That kind of dependability requires a commitment to keeping the platform current as the underlying technology advances, which is why the team set the rebuild in motion on its own initiative.

We used this opportunity to make a radical shift in our model architecture. Our latest models are a significant improvement in that they can interpret global information in a case, both within any single image as well as between linked images in a study. This closely matches how a human radiologist reads cases and the success of these models follows directly from that design. They’ve also opened a wealth of new features that we will continue to build and improve.  It was demanding work, and the team was exceptional throughout. Diplomates of the American College of Veterinary Radiology, Drs. John Mattoon and Jennifer Gambino offered contextual guidance and direction as we worked toward better outcomes for each classifier.

Anthony Lutz, Manager of Data Science, Vetology

The published performance data describes the classifiers currently in service. Every figure on that page belongs to a model running on live cases today. Performance metrics have been public since January 2026, and with the rebuild complete they now reflect the latest data for every classifier currently in service. The company’s open invitation to independent researchers to test them, stands.

In March 2025, the American College of Veterinary Radiology and the European College of Veterinary Diagnostic Imaging published a joint position statement on artificial intelligence in the Journal of the American Veterinary Medical Association. It named transparency, error reporting, postimplementation monitoring, and unbiased third-party evaluation as conditions for veterinary AI worth trusting. A pilot study in the same journal a year later externally validated six commercial veterinary radiology AI services against general practice canine abdominal radiographs and reported low to moderate performance across the platforms tested.

We read both of those papers and deliberately addressed all 94 classifiers. Our data science team set a higher bar for this rebuild than the original classifiers were held to. We believe in being fully transparent about how we develop our AI. That means actively following the published recommendations of accredited institutions and professional bodies, and it means building continuous feedback loops directly into our platform so we can hear from the DVMs using the product every day. When our community raises a concern, we act on it. Our team of board-certified radiologists validates those improvements before they reach our users. We’re building a platform veterinarians can rely on and trust, because patient safety is on the line; and that trust is earned through accountability, continuous improvement, and an unwavering commitment to the standards our profession sets.

Eric Goldman, President, Vetology 

Vetology’s AI screening reports are built to be interpreted by a veterinarian in support of their own diagnosis and treatment plan. When a case calls for a more nuanced understanding of complex patient dynamics, it can be routed to the company’s board-certified radiologists for a full teleradiology report.

“The question I get most from practices is whether the AI report takes the decision away from the veterinarian. It doesn’t. The report is one more input, it’s like asking a colleague to take a look. The diagnosis, the plan, and the conversation with the owner all still rely heavily on the veterinarian’s skill and expertise.

Pierre D’Amours, Vice President of Sales, Vetology 

# # #

ABOUT VETOLOGY

Vetology is a veterinary diagnostic imaging support company that provides AI-generated screening reports and traditional teleradiology services by board-certified veterinary radiologists. Built by radiologists, Vetology focuses on improving patient outcomes through accuracy, speed, and reliability in diagnostic imaging. Our platform is designed to integrate seamlessly into existing hospital workflows, helping clinicians make informed decisions quickly. Learn more at vetology.net.

Media Contacts

Thanks for reading! If you’d like to learn more or have any questions, we’d love to hear from you.

Contact Us
We’re Independent Too. Here’s How That Impacts You

We’re Independent Too. Here’s How That Impacts You

by | Sep 1, 2026 | AI Software, Veterinary Radiology

Buying software takes longer than it should. For an independent practice, the hard part is not the committee. It is that you are the committee.

Abstract

tl;dr: Vetology’s $200 a month subscription1 includes unlimited canine and feline AI radiograph screening, unlimited human customer support, a cloud-based PACS and image archiving. Our teleradiology service offers single-region specialist reports from $861 with no contract and no volume minimums.

Below, we break down where the AI subscription offers value, how and when to layer in teleradiology, and how Vetology connects to the practice equipment and software you already own.

The eleven-week problem, and why your experience is different

A survey of enterprise software buyers by the procurement platform Levelpath, reported by IT Brew in July 2026, found that 57% of traditional software purchases take eleven weeks or longer to get from “we need this” to a signed agreement.

As one executive quoted in the report put it, “the evaluations that stall are usually the ones where every stakeholder has veto power and nobody has decision authority”. Independent practices do not have that problem. You may or may not have a procurement department, a CIO, or four department heads who each need to sign off. More often, what you have is one person wearing all six of those hats.

You are the security review and the vendor evaluation. You are the one working out whether a new tool will actually talk to the X-ray unit you already own, and you are doing it between a dental and a difficult conversation with a client, or late in the evening after the last record update is complete. Your software evaluation happens in the margins of your notes. The subscription fee comes out of the same account that pays your team, which is why a software purchase in a practice like yours isn’t purely an IT decision. It is a workflow and business decision that can feel overwhelming.
We think that earns you straight answers from the people asking you to make it.

We are an independent business too

Vetology is independently held and founder-led. We make payroll, buy equipment, and choose our own vendors and partners too. Every recurring cost we take on has to earn its place by making us better at supporting the practices that rely on us.

Our Pricing and Services

We provide two services that complement each other, and you can choose to use one or both.

AI screening reports as a monthly subscription: Your $200 a month subscription1 covers an unlimited number of canine and feline AI radiograph screening reports with cloud PACS and medical image archiving included. Screen as many patients as you want, send as many images as you want, screening reports will automatically generate in under 5 minutes, no extra steps required. Just take the images and read the report alongside your own review of the images; form a treatment plan and discuss it with the client during their appointment. No call backs needed.

Specialist reports are written by humans. They are available at competitive prices with industry-standard turn around times. A single-region radiograph report (think, abdomen, or thorax, or limb-series) written by a boarded or board-eligible radiologist starts at $861. Our radiologists and cardiologists are also available to read ultrasounds, contrast studies, CT scans, and MRI studies. The specialist report is available when you need one.

There are no minimums:

  • No annual volume commitment
  • No block of reports that expires if you do not use it
  • Nothing to sign in August that quietly pressures you to order more in December.
  • You recommend a specialist report when the patient in front of you calls for it. The decision stays clinical.

What does the AI radiograph screening report subscription cost?

The AVMA’s 2026 Economic State of the Veterinary Profession puts total expenses at 69.5% of gross revenue across practice types, with an average gross margin near 29.5%. Because the AI subscription does not move with volume, what it actually costs you depends on how much you use it. A practice screening 5 studies a month is paying $40 per case. At 20 a month it is $10. At 50 it is $4. There is no version of that mathematical equation where using it more costs you more, and it covers all related costs including the cloud PACS and long-term storage that you would otherwise buy separately.

If this article has made you consider that a conversation is worth your time, call us. We’ll answer your questions and help you work towards the right decision for your team.

FAQ: the questions worth asking any vendor, including us

Does it actually work, and can I see the proof before I pay?

We publish sensitivity, specificity, and, about 10 more metrics for every condition our AI screens. That is more than 90 conditions, posted online and available before you talk to anyone here. Reliability is the single largest concern veterinary professionals report about AI, named by 70.3% of respondents in that Digitail and AAHA survey. Publishing our numbers and regularly retraining our models are how we acknowledge and address those concerns.

What are the limitations of AI?

It cannot see your patient and does not have the history you have. It does not know why you took the Xray or what you are attempting to rule out. Our screening reports’ results depend on submitting well-positioned, well-collimated, well-exposed radiographs for each appropriate view (VD/DV, two laterals, etc.). Condition classifier performance varies by condition, which is why we publish it condition by condition instead of as one headline number. It is also not a substitute for your own read. The screening report works best alongside your own interpretation of the images, it supports your clinical judgment and offers a 2nd opinion on the radiograph findings.

Why is the specialist report more accurate and detailed than the AI screening report?

That is expected, and it is by design. The two reports start from different information. The AI report evaluates the images and nothing else. It tells you what it sees in what was captured, which is what the word “screening” refers to. A radiologist reads that same study with the signalment, the history, your exam findings, and the clinical question in mind. Those are two different radiology roles. One tells you what is on the image. The human answers the question you asked.

The images set the ceiling on what the AI and the radiologist can see. Radiographs are two-dimensional pictures of three-dimensional patients, so the views you send determine what is available to see at all. The AI is built intentionally to serve as an image screening report. The AI reports what it finds and does not offer treatment guidance, because deciding what a finding means for a particular patient is clinical work. That is precisely why we provide both. Screening looks at every study within minutes, and a specialist report gives you a radiologist’s interpretation.

Who do I call, and what do they actually do?

You call us and you talk to a human. Our support team includes in-house veterinary radiologists, veterinary technicians with imaging skills, customer support teams, and the data scientists and engineers who built the system.

What does it ask of my team?

Vet techs and doctors at your clinic keep the image capture workflow already in place. After taking the images, nobody has to request an AI screening report. Once the connection is set up, images autosend to our cloud PACS, and AI reports are automatically generated for every complete cavity or body region visible in the images. Training and installation take one 45- to 60-minute session, and it is not a one-time offer: when you hire someone in October, we will train them too, at no extra cost.

How long does it take to get set up and trained?

That same 45- to 60-minute call installs and confirms everything is working.  A member of our team will walk you through the platform, and we’ll be available to support you and your team when you need help by email, phone, or in-platform chat.

What am I locked into?

Nothing. There is no contract. This answer is short on purpose. Pay for the subscription once a month and buy teleradiology reports when needed. No contracts, no requirements, no quotas.

How Vetology fits what you already own

The most common reason good software dies in evaluation is that nobody could tell whether it would work with everything else in the building. So, specifically:

  • Your existing X-ray equipment and PACS. Studies reach us by DICOM autosend from the equipment you already own. No new hardware, and no replacing your imaging system.
  • Cloud PACS and storage, included. If you do not have a PACS, ours comes with the subscription at no extra cost, including long-term image storage. If you wish to transfer your images from a prior service, there is a one-time transfer fee, but this is optional and not required.
  • Practice management software. The report arrives automatically as a PDF, in your email or in the platform. AI screening runs off the DICOM connection. Where we do have a direct integration, it automates a few steps. 
  • AI scribes. CoVet lets you order teleradiology with one click from inside CoVet, and your visit notes carry over instead of being retyped. ScribbleVet fills in the teleradiology form from your visit notes through its browser companion.
NOTES:
  1. At the time of this writing, in September 2026. ↩

Want to see AI in action?

To tour the platform and learn more, contact our team, or book a demo for a firsthand look at our AI and teleradiology platform.

Pin It on Pinterest