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Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.

Contact Information:

Prof Fiona Gilbert
fjg28@medschl.cam.ac.uk


Mrs Amy Hopkins
edith@warwick.ac.uk


Prof Sian Taylor-Phillips
s.taylor-phillips@warwick.ac.uk


More information about this study, what is involved and how to take part can be found on the study website.

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Be Part of Research - Trial Details - Artificial intelligence to help healthcare professionals detect cancer in the UK breast screening programme
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Artificial intelligence to help healthcare professionals detect cancer in the UK breast screening programme

Recruiting

Open to: Female

Age: Mixed

Bristol London Oxford Coventry Stoke-on-trent Cambridge Leeds Manchester Leicester Norwich London London Derby Plymouth Maidstone Exeter Westcliff-on-sea York Hartlepool Cheltenham Smethwick

Medical Conditions

Breast cancer

This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.


Artificial Intelligence (AI) is being used more commonly in the NHS. The EDITH study is looking to see how well AI could support the breast screening programme in the UK. It will test how AI can help NHS trained experts to look for cancer in mammograms.

Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.  

The recruitment start and end dates are as follows:

01 May 2026 30 Nov 2028

Within the study, some women will receive standard breast screening, where two NHS experts look at the breast images for signs of cancer. Other women will receive AI-assisted breast screening, where the AI helps the NHS expert(s) by also looking for signs of cancer. We will try out two different types of AI-assisted breast screening. The first type will involve the use of AI after the NHS expert to look for cancers that they might have missed. The second type will involve AI being used first to say whether there is a high or low risk of cancer. All images will be read by a human expert with final decisions about cancer detection made by standard human arbitration.
Women will be followed up until their screening episode is closed and then for a further four years through the screening programme and cancer registries to ascertain if they develop a cancer in the future.
Results from the three groups will be looked at to see how well humans combined with AI assistance works compared to the human readers alone and the costs and benefits of this.


We plan to have 660,000 women take part in the study from approximately 30 breast screening centres in the UK. Women will be informed about the study when they get their screening (mammogram) invitation letter.

You can take part if:



You may not be able to take part if:


1. Women being screened in the moderate and high-risk screening service (separate to NHSBSP)2. Women being screened following the very high-risk protocol (separate protocol to population risk women: annual mammography/MRI)3. Women who have opted out from participation in the study


Below are the locations for where you can take part in the trial. Please note that not all sites may be open.

  • North Bristol NHS Trust
    Southmead Hospital Southmead Road Westbury-on-trym
    Bristol
    BS10 5NB
  • King's College Hospital NHS Foundation Trust
    Denmark Hill
    London
    SE5 9RS
  • Oxford University Hospitals NHS Foundation Trust
    John Radcliffe Hospital Headley Way Headington
    Oxford
    OX3 9DU
  • University Hospitals Coventry and Warwickshire NHS Trust
    Walsgrave General Hospital Clifford Bridge Road
    Coventry
    CV2 2DX
  • University Hospitals of North Midlands NHS Trust
    Newcastle Road
    Stoke-on-trent
    ST4 6QG
  • Cambridge University Hospitals NHS Foundation Trust
    Cambridge Biomedical Campus Hills Road
    Cambridge
    CB2 0QQ
  • Leeds Teaching Hospitals NHS Trust
    St. James's University Hospital Beckett Street
    Leeds
    LS9 7TF
  • Manchester University NHS Foundation Trust
    Cobbett House Oxford Road
    Manchester
    M13 9WL
  • University Hospitals of Leicester NHS Trust
    Leicester Royal Infirmary Infirmary Square
    Leicester
    LE1 5WW
  • Norfolk and Norwich University Hospitals NHS Foundation Trust
    Colney Lane Colney
    Norwich
    NR4 7UY
  • St George's Hospital
    Blackshaw Road Tooting
    London
    SW17 0QT
  • Barts Health NHS Trust
    The Royal London Hospital 80 Newark Street
    London
    E1 2ES
  • University Hospitals of Derby and Burton NHS Foundation Trust
    Royal Derby Hospital Uttoxeter Road
    Derby
    DE22 3NE
  • University Hospitals Plymouth NHS Trust
    Derriford Hospital Derriford Road Derriford
    Plymouth
    PL6 8DH
  • Maidstone and Tunbridge Wells NHS Trust
    The Maidstone Hospital Hermitage Lane
    Maidstone
    ME16 9QQ
  • Royal Devon University Healthcare NHS Foundation Trust
    Royal Devon University NHS Ft Barrack Road
    Exeter
    EX2 5DW
  • Mid and South Essex NHS Foundation Trust
    Prittlewell Chase
    Westcliff-on-sea
    SS0 0RY
  • York and Scarborough Teaching Hospitals NHS Foundation Trust
    York Hospital Wigginton Road
    York
    YO31 8HE
  • North Tees and Hartlepool NHS Foundation Trust
    University Hospital of Hartlepool Holdforth Road
    Hartlepool
    TS24 9AH
  • Gloucestershire Hospitals NHS Foundation Trust
    Cheltenham General Hospital Sandford Road
    Cheltenham
    GL53 7AN
  • Sandwell and West Birmingham Hospitals NHS Trust
    Midland Metropolitan University Hos Grove Lane
    Smethwick
    B66 2QT

There is a possible benefit in taking part in the EDITH study as some studies have shown increased cancer findings when AI is used. The information gained from this study should help improve the screening service offered to women in the future.
AI may highlight more areas as high likelihood of cancer than human experts. Some of these may not be cancer. This may mean more women are recalled for additional testing than if AI is not used. Some women may feel anxious and/or worried if they are asked to attend additional follow-up tests. The mammography and any further testing are part of your routine care and helps the experts examine the breast more thoroughly. In most cases there is no abnormality to be found.
These procedures use ionising radiation to form images of the breast and provide NHS trained experts with clinical information. Ionising radiation may cause cancer many years or decades after the exposure. The majority of participants in this study will not undergo any additional procedures. For those participants the chance of this happening is the same whether they take part in the study or not. Participants who may not have been recalled for additional testing, but are recalled due to participation in the study, will undergo additional exposure to ionising radiation. The risk arising from these additional exposures is extremely small.

Prof Sian Taylor-Phillips
s.taylor-phillips@warwick.ac.uk


Mrs Amy Hopkins
edith@warwick.ac.uk


Prof Fiona Gilbert
fjg28@medschl.cam.ac.uk



More information about this study, what is involved and how to take part can be found on the study website.


The study is sponsored by University of Warwick; Cambridge University Hospitals NHS Foundation Trust and funded by National Institute for Health and Care Research.




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Read full details for Trial ID: ISRCTN81384017

Or CPMS: 59556

Last updated 26 November 2025

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