🐶 VetAI Diagnostics Clinical decision support for veterinary labs
EN | UA

AI-assisted, rule-based interpretation of veterinary laboratory results

VetAI Diagnostics helps veterinarians quickly identify clinically relevant abnormalities in bloodwork and produce structured, explainable reports. Designed for evidence-based workflows — starting with canine CBC interpretation.

Important: VetAI Diagnostics supports veterinarians. It does not provide automated diagnoses and does not replace clinical judgment.
Request pilot access / contact See product screenshots
Structured outputSummary, key problems, diagnostic directions
Explainable logicShows how conclusions are derived
Built for clinicsWorkflow-friendly, veterinary-oriented UI

What problem does it solve?

CBC interpretation is time‑consuming and can vary between clinicians. VetAI provides a consistent, structured interpretation layer that highlights patterns and supports decision-making under time constraints.

  • Flags clinically relevant deviations
  • Summarizes key findings in a standardized format
  • Suggests possible diagnostic directions and follow-up checks
  • Explains the reasoning behind each conclusion

Product overview (MVP screenshots)

Screenshots are from the current pilot. No external demos are required to understand the product.

CBC data input and configuration screen of the VetAI CBC pilot.
CBC data input and configuration. Veterinary-oriented interface for structured CBC interpretation, including patient data and analyzer profile.
Interpretation result showing automated summary and key problems.
Automated clinical summary. Highlights key abnormalities and generates a structured summary to support veterinary decision-making.
Diagnostic directions and recommended follow-up examinations.
Diagnostic directions and recommendations. Rule-based interpretation suggests possible diagnostic directions and follow-up examinations based on CBC patterns.
Explainable decision logic showing how conclusions are derived from parameters.
Explainable decision logic. Provides transparency by showing how conclusions are derived from specific laboratory parameters.

How it works (high level)

  • Rule-based medical engine identifies deviations and clinically meaningful patterns.
  • AI-assisted layer helps structure explanations and reports (without replacing medical logic).
  • Clinician remains responsible for final assessment and treatment decisions.

Target users

  • Veterinary clinics and private veterinarians
  • Small animal practice (initial focus: dogs and cats)
  • Clinicians who need a structured, explainable interpretation workflow

Roadmap

  • MVP: automated ingestion (files/photos), expanded analytes, bilingual UI (EN/UA)
  • Validation: pilot expansion with clinics and professional partners
  • Scaling: designed to scale after MVP validation, with long-term EU/US market readiness

The initial focus is validation in Ukraine; expansion follows MVP validation.