diagnoVET Review 2026: Features, Pricing, Pros & Cons

DiagnoVET is an AI diagnostic support platform for veterinary imaging that covers three modalities: X-ray, ultrasound, and echocardiography. It is one of the few AI platforms on the market today that extends beyond radiographs into ultrasound and echo, the primary tools used by imaging specialists, mobile DACVR practices, and general practices that want to offer ultrasound in-house. Reports that typically take 30 to 45 minutes to write are reduced to a clinical review most vets complete in under minutes, with the veterinarian reviewing, editing, and signing every report before it leaves the platform. The workflow is straightforward. Vets upload DICOM images, or standard file types, along with optional study context through text or voice. The platform drafts a structured report with findings, interpretation, and recommendations. The vet edits and signs. DiagnoVET is explicitly positioned as clinical decision support, not autonomous diagnosis. The architecture is LLM-based report drafting with mandatory veterinarian sign-off, which is structurally different from classifier-based tools that flag abnormalities without narrative. Internal validation across 3k ultrasound cases, reports 96.5% sensitivity and 98.2% specificity. The vet remains the decision-maker; the platform acts as a copilot that drafts, structures, and retrieves relevant context so the specialist can review faster. For evaluation, practices should confirm during a demo: which modalities they need, DICOM integration with their existing equipment, report template customization, language support (English, Spanish, and Portuguese currently supported), and how reports export into medical records. The platform is best suited for independent veterinary imaging centers, mobile imaging practices, specialty and emergency hospitals, teleradiology companies, and general practices with ultrasound services.