See the supporting features Make your own assesment

sKINGUIDE+ inSight

Everything in Measure, with AI decision support for clinician review.

More than a category
Information you can inspect

INSIDE INSIGHT

Choose an output to see where it appears in the prototype report and how it supports review.

EXPLORE THE PROTOTYPE REPORT

Swipe the report sideways to inspect its details.

Example prototype report with risk category, model category, suggested next action, supporting feature cues, uncertainty statement, and clinical overview

Bring the outputs together.

The assessment snapshot brings the model category, risk category, suggested next action, and visible observations into one overview for clinician review.

Example prototype report with risk category, model category, suggested next action, supporting feature cues, uncertainty statement, and clinical overview

Understand the model’s assessment.

Review the level of concern and closest model category alongside the patient’s history and examination. The output supports the clinician’s assessment; it does not establish a diagnosis.

Example prototype report with risk category, model category, suggested next action, supporting feature cues, uncertainty statement, and clinical overview

See what the model is pointing to.

Inspect the highlighted regions and descriptive feature cues. Check whether those cues correspond to what you see in the image.

Example prototype report with risk category, model category, suggested next action, supporting feature cues, uncertainty statement, and clinical overview

Review the limits of the output.

Read the uncertainty statement together with image suitability and the other findings. Uncertainty should remain visible during review.

Example prototype report with risk category, model category, suggested next action, supporting feature cues, uncertainty statement, and clinical overview

Consider the suggested action.

The prototype includes a suggested next action. The clinician decides how to proceed using the clinical context and local pathway.

Example prototype output. Model-generated cues require clinician review.

A CONNECTED WORKFLOW

From capture to considered review

Link the smartphone to the case, capture the image, and check its quality. Insight adds AI analysis for suitable images to the measurements already available in Measure.

The clinician reviews the output in context before recording their own assessment.

01 / CHECK

Confirm suitability

Check image quality and suitability for AI analysis. If an image is unsuitable, you may need to recapture it or exclude it from analysis.

02 / REVIEW

Inspect the support

Review the category, feature cues, uncertainty, and suggested next action.

03 / RECORD

Make your assessment

Record the clinician’s diagnosis and management decision, then review and approve the report.

Explore the complete workflow →

CLINICAL JUDGEMENT STAYS WITH YOU

Two assessments Clear responsibility

AI assessment

Model-generated category, supporting features, uncertainty, and suggested next action.

Clinician assessment

Your diagnosis, management decision, and approval of the final report.

THE PRODUCT IN DEVELOPMENT

A working prototype A clear next step

SkinGuide+ is being developed for evaluation in primary care. Prospective clinical evaluation and EMIS integration remain development priorities.

  • AI decision support, including model category, supporting visual features, uncertainty, and a suggested next action, within the shared capture and reporting workflow.

  • No. The clinician records their diagnosis and management decision separately and approves the report.

  • No. Similar confirmed cases are an optional supporting feature.

Explore development →