Compliance & Law

Examining the legal frameworks that govern — and fail to govern — veterinary medicine’s commercial relationships.

Vet AI Position Statement: 18 Months of Institutional Silence

“In March 2025, the American College of Veterinary Radiology and the European College of Veterinary Diagnostic Imaging published a joint position statement in JAVMA establishing that commercial veterinary AI radiology products do not currently meet the standards required for safe deployment in clinical practice. The position statement was the formal, peer-reviewed expression of the field’s specialty college finding that an entire commercial product category fails the threshold for clinical use. In the eighteen months since, the institutions positioned to act on the position statement’s findings have not done so. The ACVR has continued to host the same AI vendors as official conference partners. The AVMA has issued no policy resolution and modified no corporate-relationship framework. AAHA, the only voluntary accrediting body for companion-animal veterinary hospitals in the United States and Canada, has completed the first comprehensive Standards of Accreditation refresh in its 90-year history without adding any standard that would constrain commercial AI radiology products. The institutional inaction is consistent across all three institutions, occurring in the same eighteen-month window, with the same documented professional notice, and with the same documented corporate sponsorship architecture connecting each institution to the corporate parents of the AI vendors at issue. This article documents what was said, what was not done, and why the structural pattern of inaction is explicable by examining how veterinary professional self-regulation is funded and organized.”

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Veterinary AI’s Training-Set Problem — Part Three: The Validation Statistics

“The first two parts of this investigation calculated the labor required to produce the training corpora claimed by SignalPET, Vetology, and Antech RapidRead, and demonstrated that the math does not work — at the simplest annotation step, at the bounding-box step, at the segmentation step, and against the structural infrastructure veterinary medicine has not built. This article closes the series by addressing what happens after training is supposedly complete: what the products are required to demonstrate, what they actually demonstrate, and the corporate revenue model that explains why a category of medical-decision-support software exists that operates entirely outside the validation framework that constrains its human-medicine equivalent. The two halves of this article are different in tone — the first half is technical and statistical, the second half is structural and economic — but they answer the same question: why is the foundational accuracy claim of commercial veterinary AI radiology software so consistently weak, and so consistently absent from the kind of independent verification the human-side AI category requires as a precondition of going to market?”

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Veterinary AI Validation Lags Human Radiology by a Decade

“A peer-reviewed Frontiers commentary published in June 2025 by four veterinary AI researchers — including the lead author of the ACVR/ECVDI’s official AI position statement — methodically dismantled the only published external validation study of a major veterinary AI radiology product. Circular ground truth, severe class imbalance, sensitivity of 0.444 in difficult cases, the wrong statistical test, no version traceability. That is the state of validation in commercial veterinary AI. On the human side, by contrast, a model called CheXNet was trained on 112,120 publicly released chest radiographs in 2017, validated against three independent cardiothoracic specialists, published in PLOS Medicine, and then beaten on the public leaderboard by hundreds of subsequent teams. That is what the scientific method looks like in medical AI. The veterinary industry skipped it.”

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Veterinary AI Radiology: The Regulatory Gap Vendors Exploit

“In human medicine, an AI system is not allowed to issue a diagnostic radiology report to a referring clinician without a licensed physician in the loop. Three separate regulatory layers — FDA device clearance, state medical practice acts, and CMS reimbursement — reinforce each other to make that prohibition operational. In veterinary medicine, none of those three layers applies to AI reading of radiographs. Vendors including SignalPET’s SignalSTAT, Vetology’s Virtual AI Radiologist Report, and Antech’s RapidRead are selling AI-generated radiograph interpretations to referring general practitioners with no board-certified veterinary radiologist review — a practice the ACVR and ECVDI have formally stated no current commercial product meets the standard to perform.”

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VitalRads: The Full Story

“Brian Poteet didn’t build veterinary teleradiology — he observed how it was done at PetRays, departed, and started his own company. What he built was eventually good. What happened to it is something else: the VITALRADS trademark was transferred to a private equity consolidator in 2018 without any public announcement, the brand now sits on a $1.7 billion distressed debt pile, and independent clinics are being steered to it through a “membership organization” that is operated by the same corporate owner. None of this is disclosed at the point of care.”

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When the Right Enforcer Acts: The Federal Prosecution of U.S. Compounding and What It Means for Veterinary Teleradiology

“The federal government prosecuted a six-year veterinary kickback scheme involving a publicly traded pharmaceutical company, secured a corporate guilty plea, a jury conviction, two individual guilty pleas, and up to $21 million in criminal exposure — all in a context where the primary federal anti-kickback statute did not apply. The tools it used are available to every state attorney general in the country. The conduct those tools were used to address is structurally present in the veterinary teleradiology industry today.”

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The Wrong Target: How a Nevada Pharmacy Board’s Anti-Kickback Crusade Revealed the Real Enforcement Gap in Veterinary Medicine

“A state regulatory board spent two years trying to shut down a transparent pharmacy delivery company for alleged kickback violations — and lost. The same legal framework has never been applied to the corporate teleradiology platforms operating identical revenue-sharing arrangements at national scale. The question is not whether the law applies. The question is who has the standing to enforce it.”

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The AVMA Says It’s Unethical. Multiple States Say It’s Illegal. Nobody Is Enforcing Either.

“Veterinary fee-splitting and kickbacks are prohibited by the profession’s own ethics code, outlawed by statute in multiple states across three categories of law, and documented as a growing regulatory concern by the legal community. They are also a routine feature of corporate veterinary consolidation. The gap between what the rules say and what the industry does is not a secret. It is a business model.”

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