Method and limitations

How Odonta Index AI assesses disclosed dental plaque

The service helps clinicians standardize photos, mark likely disclosed-plaque areas, and calculate oral-hygiene indices. A result remains preliminary until a clinician reviews and confirms it.

From photo to measurement

The workflow uses dental photographs taken after a plaque-disclosing agent is applied. The algorithm estimates stained areas and calculates plaque share for the available views. Lighting, focus, camera angle, and disclosing technique can affect the output.

  • Clinical photos are uploaded inside the protected workspace.
  • The percentage uses only available views.
  • Questionable image quality produces a clinician warning.

Clinician responsibility

Odonta Index AI does not diagnose. The clinician compares the markup with the clinical presentation, corrects values when needed, and confirms the final result. Corrections and confirmations are retained in revision history.

  • Preliminary results are clearly labelled.
  • Confirmed results show clinician-review status.
  • The report does not replace examination, diagnosis, or treatment planning.

Accuracy and validation

We do not publish a clinical accuracy percentage without an independently labelled dataset and a predefined validation protocol. Current measurements support clinical communication and longitudinal follow-up; they are not autonomous medical decisions.