AI oral health insights from the photos patients already submit

The analysis reports on four signal areas from a patient's submitted photographs: healthy zones, plaque indicators, gum concerns and potential decay indicators. It returns a structured breakdown across those areas rather than a single overall score, so the reviewing clinician can see which observation sits behind each flag. The output is presented as indicators to be checked, not as findings — the clinician decides what, if anything, each signal means for that particular patient and case.

No. Oral health analysis is a supporting tool that surfaces additional signals from patient photographs. It does not replace clinical examination, radiographs or a diagnostic conclusion, and it should never be presented to a patient as a diagnosis. Clinicians review and interpret the output in the context of the full patient record and their own examination. Under GDC standards the registrant remains responsible for the clinical judgement, whatever a software tool suggests, so the analysis is positioned as a prompt for attention rather than an answer.

No. The analysis runs on the same photographs the patient already submitted for their assessment or monitoring check-in, so there is no extra step, no second request and no additional upload for the patient to complete. This matters in practice because every additional request made of a patient reduces the proportion who finish the journey. Reusing the existing intake photos means the extra signal is obtained without any change to what the patient is asked to do.

No. The analysis is designed to work with standard smartphone photographs captured through the guided intake workflow, which coaches the patient on framing, lighting and angle. No intraoral camera, scanner or other specialist hardware is needed at the patient's end. That keeps the feature usable for remote enquiries and for monitoring check-ins taken at home, where the patient only has the phone in their pocket.

Results are displayed inside the patient's assessment or monitoring record, next to the photographs they were derived from and alongside the patient's history and previous submissions. Keeping the output in the record rather than in a separate report means the reviewing clinician sees the image, the indicator and the case context together, and any colleague who opens the record later sees the same thing. Nothing has to be exported, attached or emailed between team members.

When a clinician is working through a queue of remote submissions, oral health indicators give an additional basis for ordering that queue, so submissions carrying flagged indicators can be looked at earlier rather than being reviewed in submission order. The efficiency gain is in triage sequencing, not in reducing the depth of review: every submission is still reviewed by the clinician. Practices with high remote submission volumes tend to benefit most from this.