Vision AI

Assistance on the tray. Authority stays human.

Vision is one capability of Steritrack, not the product. It proposes findings on a set photo; a qualified operator confirms, corrects or rejects them — and that human decision is the record of truth.

Four working concepts

Findings are expressed in terms the sterile processing floor already uses.

  • Missing
  • Extra / unexpected
  • Substitution candidate
  • Uncertain — needs review

Human ground truth

Model output and human verification are stored as distinct records, never merged.

  • Operator confirmation required
  • Corrections captured explicitly
  • No automatic release

Dataset and annotation

Capture campaigns, annotation queues and review flows are implemented in the platform.

  • Capture campaigns
  • Annotation queue
  • Ground-truth review

Engine contract

A versioned inference contract keeps the platform independent from any single model.

  • Model-agnostic interface
  • Run and prediction history
  • Contract conformance tests

Explainability

Each finding is traceable to the image, run and model version that produced it.

  • Per-run predictions
  • Image-level evidence
  • Reviewable history

Honest maturity

Detection quality depends on datasets built with each site during evaluation.

  • No clinical accuracy claim
  • Site-specific calibration
  • Assistive by design

Steritrack makes no claim of trained clinical production accuracy. Vision output is assistive and always subject to human verification.