AI-BRACE
Research type
Research Study
Full title
Use of Artificial Intelligence in the symptomatic BReast Clinic SEtting – a Retrospective Study
IRAS ID
332913
Contact name
Richard Sidebottom
Contact email
Sponsor organisation
The Royal Marsden NHS Foundation Trust
Duration of Study in the UK
1 years, 6 months, 30 days
Research summary
Artificial Intelligence (AI) systems for the classification of mammography images have been developed and are beginning to be trialled and deployed in a breast cancer screening setting with encouraging results.
It is reasonable to think that these systems could be useful in the context of symptomatic breast clinic. However, these systems developed in the screening setting have unknown performance in the context of symptomatic breast clinic.
It is therefore important to test the performance of these systems in this alternative context.
This study will use retrospective data, from where it is possible to determine ground truth outcomes with greater confidence, accessing relatively large volumes of data with less patient burden when compared to prospective studies. This important cohort of patients has been less investigated to date, mainly because symptomatic data is typically more difficult to curate than screening data where key data is methodically prospectively collected.
Our proposed work will be carried out in collaboration with a selected AI vendor and local clinical teams to define optimal use case scenarios for the symptomatic breast clinic.
REC name
South East Scotland REC 02
REC reference
24/SS/0010
Date of REC Opinion
12 Feb 2024
REC opinion
Further Information Favourable Opinion