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

13 Citations (Scopus)

25 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

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.

Funding

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.

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

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, 407 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 = "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.",

year = "2021",

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doi = "10.1177/09691413211001405",

language = "English",

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T1 - Screening participants’ attitudes to the introduction of artificial intelligence in breast screening

AU - Vries, Clarisse F de

AU - Morrissey, Brian E

AU - Duggan, Donna

AU - Staff, Roger T

AU - Lip, Gerald

N1 - 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.

PY - 2021/9/1

Y1 - 2021/9/1

N2 - 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.

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.

KW - Artificial Intelligence

KW - Attitude

KW - Breast

KW - Breast Neoplasms/diagnosis

KW - Female

KW - Humans

KW - Mass Screening

UR - https://www.scopus.com/pages/publications/85102446437

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DO - 10.1177/09691413211001405

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EP - 222

JO - Journal of Medical Screening

JF - Journal of Medical Screening

IS - 3

ER -

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

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Aberdeen Biomedical Imaging Centre

Cite this

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

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Equipment

Aberdeen Biomedical Imaging Centre

Cite this