Clinical AI: Imaging & Lab

Diagnostic Imaging AI

Real-time AI screening of chest and abdominal radiographs is the most mature deployed AI category in veterinary medicine. Multiple commercial platforms are in active clinical use across thousands of practices globally. Dental radiograph AI arrived in 2025. Ultrasound, ophthalmology, and photographic dermatology AI remain primarily research as of mid-2026.

SignalPET

SignalPET is the most broadly deployed veterinary radiology AI platform, with 2,500+ active clinics, 7,000+ clinicians, 50+ countries, and more than 20 million images scanned.^[1] It offers two service tiers: an Immediate Report (63+ critical pathologies flagged, results in under 5 minutes) and a Complete Report (full radiologist-style narrative). The platform is PACS-agnostic with under 10-minute setup and covers thoracic, abdominal, musculoskeletal, soft tissue, and dental imaging. IVC Evidensia, the world's second-largest veterinary group, has been rolling SignalPET across European and Canadian practices since 2022.

Independent validation raised concerns: a 2025 Frontiers in Veterinary Science commentary examined one comparison study (50 cases, no independent ground truth, 84% normal-heavy population) and found sensitivity of 0.578–0.688.^[2] SignalPET has not released condition-by-condition validation data publicly. This does not mean the tool doesn't work — but purchasers should not assume the headline accuracy claim applies uniformly across conditions.

Vetology

Vetology is one of the two earliest commercial veterinary radiology AI platforms (approximately 8 years old as of 2026), distributed through Patterson Veterinary. It combines AI screening (initial report in 5–10 minutes) with cloud teleradiology (STAT board-certified read approximately 2 hours, routine approximately 24 hours). Vetology publishes 91+ condition classifiers for canine and feline patients and is notably transparent about validation: the heart failure classifier achieved 89.5% sensitivity validated over 10,951 cases — a rare published condition-specific metric in this space.

Recent integrations include partnerships with dvmGRO and VetIT (UK/EU), and a 2025 ScribbleVet integration enabling one-click teleradiology order submission from within the scribe workflow. Vetology has a smaller installed clinic footprint than SignalPET and covers canine and feline only.

Antech RapidRead and RapidRead Dental

Antech's RapidRead, built by Mars Petcare's Antech division, covers 50+ thoracic, abdominal, and limb findings on dogs and cats, delivering results in under 10 minutes with every report quality-checked by a board-certified radiologist. RapidRead Dental launched in May 2025 for intraoral dental radiographs, claiming approximately 98% accuracy — though no independent peer-reviewed validation has been published. RapidRead is distributed through Antech's existing account network and is not sold directly to independent practices.

Radimal

Radimal combines cloud AI with specialist teleradiology and a free PACS. Its AI triage flags urgent findings (obstruction, heart failure) for priority routing. Average specialist report time is 35 minutes, with a guaranteed 1-hour STAT option. The platform handles X-ray, ultrasound, CT, and MRI. In October 2025, Cornell University's College of Veterinary Medicine named Radimal its preferred imaging provider (handling 21,000+ imaging cases per year).^[3] Radimal is a newer entrant concentrated in referral and specialty settings.

Honest assessment — imaging AI

Chest and abdominal X-ray screening is mature and broadly deployed. Dental radiograph AI is new (2025) with limited independent data. Ultrasound AI, ophthalmology AI, and photographic dermatology AI (for skin lesion classification from photos) remain primarily research as of mid-2026 — CNN-based dermatology studies have been published but no commercial standalone product for photographic dermatology is available.

A significant professional concern: the American College of Veterinary Radiology and European College of Veterinary Diagnostic Imaging issued a June 2025 joint statement asserting that "currently, no commercially available AI products for veterinary diagnostic imaging meet the required standards for transparency, validation, or safety."^[4] Vendors continue operating in this gap. See Adoption Considerations for the regulatory context.

Clinical Lab AI

In-clinic laboratory AI is further along the maturity curve than most practitioners realize, with urine sediment and fecal parasitology AI mature at scale, and in-clinic cytology AI newly deployed in 2024–2025.

IDEXX SediVue Dx

IDEXX SediVue Dx automates urine sediment analysis using a neural network trained on over one billion patient images. It classifies RBCs, WBCs, epithelial cells, bacteria (rods and cocci), casts, and crystals, generating up to 70 high-resolution images per run in approximately 30 seconds. Published concordance with manual microscopy is 96%; per-sample technician time falls from 8 minutes to 2 minutes. SediVue is one of the most widely deployed veterinary diagnostic AI devices globally. Its limitation is scope: urine sediment only, with degraded accuracy on exotic species.

IDEXX inVue Dx Cellular Analyzer

IDEXX inVue Dx, launched in late 2024, performs slide-free cytology and blood morphology analysis using deep learning trained by hundreds of board-certified pathologists. It processes approximately 10,000 cells in the time required to prepare one manual slide. Current modules cover ear cytology (bacteria, yeast, WBCs, mites), blood morphology (spherocytes, platelet clumping, immature neutrophils), and ProCyte integration. IDEXX placed 1,900+ units in Q4 2025 alone, with a full-year 2026 target of 5,500 units.^[5] The highest-value general practice cytology use case — fine needle aspirate (FNA) cytology for lumps and bumps — is listed as "upcoming."

Zoetis Vetscan Imagyst

Zoetis Vetscan Imagyst is a seven-in-one platform: AI Fecal, AI Urine Sediment, AI Dermatology (skin impression smears and swabs, 15-minute results), AI Blood Smear, AI Equine Fecal Egg Count, AI Masses (lymph node and skin lesion cytology, launched June 2, 2025), and Digital Cytology. The AI Fecal module has peer-reviewed validation in Parasites & Vectors and JVDI showing performance comparable to diagnostic parasitology experts.^[6] AI Masses is too new for independent data. Digital Cytology requires sample shipment to a Zoetis lab and is not fully in-clinic autonomous.

Heska / Antech (Cuattro)

Heska was acquired by Antech (Mars Petcare) in 2023, with its portfolio absorbed into the Mars veterinary health infrastructure. Cuattro digital radiography, PACS, and in-house analyzers (Element HT5, Element DC5X) carry AI-assisted reporting. Heska had a substantial pre-acquisition installed base in North America. Honest gap: Heska's in-house AI roadmap has reportedly slowed since the Mars/Antech acquisition; clarity on the product roadmap is limited.

Honest assessment — lab AI

Urine sediment (SediVue) and fecal parasitology (Imagyst AI Fecal) are mature and validated at scale. In-clinic cytology — inVue Dx and Imagyst AI Masses — is newly deployed (2024–2025) with limited real-world outcome data. Reference lab cytology AI is in early deployment but largely invisible to clinic customers. The FNA cytology gap (the highest-volume GP cytology task) remains the most significant unmet near-term need.