Compliance - Veterinary Teleradiology

Compliance & Law

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

Veterinary Equipment Bundling: Nobody Can Compete With Free

May 24, 2026

“A veterinary clinic is offered a CT scanner at no upfront cost. An ultrasound machine, a digital x-ray system, a PACS — all of it, free, or nearly free. The condition: sign a multi-year laboratory-services contract. The equipment is not free. Its cost is buried inside the lab contract, paid over years, and ultimately funded by pet owners through diagnostic pricing that never had to compete. This article is written from the perspective of the company that sells imaging equipment honestly, at a real price — and cannot survive against a price that is not real.”

Can’t Compete, So The Cheat?

May 24, 2026

“Human teleradiology operates inside a dense, actively enforced legal structure: the interpreting radiologist must hold a license where the patient sits, and federal and state law forbid fee-splitting, kickbacks, self-referral, and the tying of diagnostic services to other purchases. Veterinary teleradiology is governed by the same underlying legal principles — and a corporate aggregator model that routinely crosses them. This article documents the rules, the lines, the danger, the enforcement pathways, and the penalties. You decide what to call it.”

Veterinary Teleradiology Kickbacks: The Law & The Industry

May 23, 2026

“The federal Anti-Kickback Statute does not reach the veterinary side, but Nevada NRS 638.1404 prohibits referral compensation arrangements not disclosed to the client, Texas categorically prohibits them regardless of disclosure, and the AVMA Principles of Veterinary Medical Ethics state that “a veterinarian should not offer or receive any financial incentive solely for the referral of a patient.” Despite this legal architecture, the operational forms the prohibited conduct takes — published loyalty programs like IDEXX Points where points scale with referral volume, private per-study referral compensation characterized as marketing fees, equipment-placement deals tied to referral commitments, and corporate-consolidation revenue capture under vertically integrated structures like Mars Petcare’s Antech-AIS-VCA-Banfield architecture — remain a routine feature of the commercial market. This article documents the legal framework, the operational forms the prohibited conduct takes, the harm to patient care and client trust, and what happens when state attorneys general, state veterinary boards, or federal enforcers begin to take notice.”

Why Veterinary Antitrust Cases Keep Failing on Standing

May 23, 2026

“A historical survey of competition enforcement in the veterinary industry, and the three-gate standing problem that has shielded the largest corporate players from the courthouse — supported by publicly available court filings.”

Vet AI Position Statement: 18 Months of Institutional Silence

April 26, 2026

“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.”

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

April 26, 2026

“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?”

Veterinary AI Validation Lags Human Radiology by a Decade

April 25, 2026

“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.”

Veterinary AI Radiology: The Regulatory Gap Vendors Exploit

April 25, 2026

“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.”

VitalRads: The Full Story

April 14, 2026

“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.”

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

March 11, 2026

“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.”