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

Clarisse F de Vries; Brian E Morrissey; Donna Duggan; Roger T Staff; Gerald Lip

doi:10.1177/09691413211001405

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

Aberdeen Royal Infirmary

Research output: Contribution to journal › Letter › peer-review

6 Citations (Scopus)

12 Downloads (Pure)

Abstract

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 language	English
Pages (from-to)	221-222
Number of pages	2
Journal	Journal of Medical Screening
Volume	28
Issue number	3
Early online date	9 Mar 2021
DOIs	https://doi.org/10.1177/09691413211001405
Publication status	Published - 1 Sept 2021

Bibliographical note

Funding
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.

Acknowledgements
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.

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/09691413211001405Licence: Unspecified

Vries_etal_JMS_Screening_Participants_Attitudes_AAM
de Vries CF, Morrissey BE, Duggan D, Staff RT, Lip G. Screening participants’ attitudes to the introduction of artificial intelligence in breast screening. Journal of Medical Screening. March 2021. doi:10.1177/09691413211001405 Copyright ©The Author(s) 2021 Article reuse guidelines: sagepub.com/journals-permissions DOI: 10.1177/09691413211001405journals.sagepub.com/home/msc
Accepted author manuscript, 395 KBLicence: Unspecified

Cite this

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title = "Screening participants{\textquoteright} attitudes to the introduction of artificial intelligence in breast screening",

abstract = "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.",

keywords = "Artificial Intelligence, Attitude, Breast, Breast Neoplasms/diagnosis, Female, Humans, Mass Screening",

author = "Vries, {Clarisse F de} and Morrissey, {Brian E} and Donna Duggan and Staff, {Roger T} and Gerald Lip",

note = "Funding 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. Acknowledgements 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.",

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AU - Vries, Clarisse F de

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AU - Lip, Gerald

N1 - Funding 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. Acknowledgements 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.

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AB - 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.

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

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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Aberdeen Biomedical Imaging Centre

Cite this

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

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Equipment

Aberdeen Biomedical Imaging Centre

Cite this