Educational prototype

Adenova

Supporting earlier recognition of possible adenomyosis.

See how AI could point a clinician to possible ultrasound signs for review. It never diagnoses.

Highlights, not verdicts

AI points to areas a clinician may want to look at again.

Clinician-led

A gynaecologist reviews scans together with symptoms.

Private by design

No names, contacts, health records or real scans are collected.

Choose a sample image

These are labelled illustrations, not real patient scans. Uploading your own images is switched off.

Illustration – not a real scan

Demo result

What the AI described

The headline is a fixed demo message. The AI only describes what is drawn. It has not confirmed or ruled out any condition.

Illustration – not a real scan

How a heatmap explains a result

Show heatmap

Less influence

More influence

What it shows

Which areas of the image influenced an AI result. Warmer colours mean more influence.

What it does not show

It does not confirm disease. It only points a clinician to places worth a closer look. In this demo the highlighted areas are preset for teaching and are not drawn by the AI.

Next steps

A scan is one piece of the picture. A gynaecologist reviews the ultrasound together with symptoms and history.

Speak to a gynaecologist

Anyone with concerns, such as heavy or painful periods or pelvic pain, can ask for a clinical review.

Scan and symptoms together

Only a qualified clinician can interpret a scan and decide what comes next.

AI assists, never replaces

A validated AI tool could support that review. It would not replace it.

If this became a real AI tool

Work with gynaecologists and ultrasound specialists.
Use consented, de-identified, expert-labelled scans.
Test on data from clinics not used for training.
Measure missed cases and false alarms.
Protect patient data.
Obtain regulatory advice before any clinical use.

Current AI research in this area still needs further validation before routine use.