Staci Weiss
Department of Psychology
Overview
Dr Adeno is an AI-powered system designed to help doctors detect adenomyosis, a common but often overlooked condition where tissue similar to the lining of the womb grows into its muscular wall. Despite affecting many women, adenomyosis can be difficult to recognise and is often diagnosed late.
A routine internal pelvic ultrasound can be highly effective at identifying adenomyosis when interpreted by an experienced specialist, with studies showing that it can perform comparably to MRI while being far cheaper and more widely available. The challenge is that the signs of adenomyosis on ultrasound are often subtle and can look different from one patient to another. Recognising these signs consistently requires specialist training, which means they can sometimes be missed during routine scans.
Dr Adeno is designed to bring that specialist-level assessment into everyday ultrasound practice. It analyses routine scans automatically, looking for the key features associated with adenomyosis and highlighting areas that may require a clinician’s attention.
The system works alongside the hospital’s existing imaging setup, meaning it can be introduced without significantly changing how scans are performed or how clinicians work. Once a scan has been analysed, Dr Adeno provides a clear, structured report alongside annotated images showing where relevant features have been identified. Clinicians can review these results through a simple, secure browser-based viewer.
By making ultrasound assessment more consistent and systematic, Dr Adeno aims to help clinicians recognise adenomyosis earlier, reduce unnecessary repeat imaging and support faster referrals to the right specialists. It can also identify where suspected areas of adenomyosis are located, giving clinicians critical information when considering the most appropriate treatment.
If you would like to collaborate or learn more about Dr Adeno, please contact Mo Vali at mv487@cam.ac.uk.
