Screening participants’ attitudes to the introduction of artificial intelligence in breast screening

Clarisse F de Vries, Brian E Morrissey, Donna Duggan, Roger T Staff* (Corresponding Author), Gerald Lip

*Corresponding author for this work

Research output: Contribution to journalLetterpeer-review

5 Citations (Scopus)
11 Downloads (Pure)


A shortage of radiologists is increasingly putting UK breast cancer screening under strain,1 and with more breast radiologists retiring than new radiologists being appointed/trained,2 this burden is set to increase. One possible partial solution is the use of artificial intelligence (AI) in breast screening mammogram interpretation to meet this future need. Various groups have demonstrated the potential use of AI in retrospective studies although few have demonstrated its utility, in situ, in large prospective randomised control trials,3–5 the conventional way of demonstrating clinical and operational utility.
Original languageEnglish
Pages (from-to)221-222
Number of pages2
JournalJournal of Medical Screening
Issue number3
Early online date9 Mar 2021
Publication statusPublished - 1 Sept 2021

Bibliographical note

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Innovate UK has funded this research under the UK Research and Innovation Industrial Strategy Challenge Fund.
We are grateful to Friends of Anchor for supplying single-use pens for participants to complete the questionnaires. We would also like to thank the participants and staff at the breast screening unit in NHS Grampian.


  • Artificial Intelligence
  • Attitude
  • Breast
  • Breast Neoplasms/diagnosis
  • Female
  • Humans
  • Mass Screening


Dive into the research topics of 'Screening participants’ attitudes to the introduction of artificial intelligence in breast screening'. Together they form a unique fingerprint.

Cite this