Women’s attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms
•Screening participants are positive of artificial intelligence in image assessment.•Respondents preferred artificial intelligence in combination with human readers.•Respondents stressed information need in utilization of artificial intelligence.•Level of knowledge and education impacted attitude of...
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| Veröffentlicht in: | European journal of radiology 2024-06, Vol.175, p.111431-111431, Article 111431 |
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| container_title | European journal of radiology |
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| creator | Holen, Åsne Sørlien Martiniussen, Marit Almenning Bergan, Marie Burns Moshina, Nataliia Hovda, Tone Hofvind, Solveig |
| description | •Screening participants are positive of artificial intelligence in image assessment.•Respondents preferred artificial intelligence in combination with human readers.•Respondents stressed information need in utilization of artificial intelligence.•Level of knowledge and education impacted attitude of artificial intelligence.
To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.
An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening. Analyses were performed using χ2 and logistic regression tests.
General knowledge of AI was reported as extensive by 11.0% of the 8,355 respondents. Respondents were willing to participate in studies using AI either for decision support (64.0%) or triaging (54.9%). Being informed about use of AI-assisted image assessment was considered important, and a reading strategy of AI in combination with one radiologist preferred. Having extensive knowledge of AI was associated with willingness to participate in AI studies (decision support; odds ratio [OR]: 5.1, 95% confidence interval [CI]: 4.1–6.4, and triaging; OR: 3.4, 95% CI: 2.8–4.0) and trust in AI’s independent assessment (OR: 6.8, 95% CI: 5.7, 8.3).
Women invited to BreastScreen Norway had a positive attitude towards the use of AI in image assessment, given that human readers are still involved. Targeted information and increased public knowledge of AI could help achieve high participation in AI studies and successful implementation of AI in mammography screening. |
| doi_str_mv | 10.1016/j.ejrad.2024.111431 |
| format | Article |
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To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.
An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening. Analyses were performed using χ2 and logistic regression tests.
General knowledge of AI was reported as extensive by 11.0% of the 8,355 respondents. Respondents were willing to participate in studies using AI either for decision support (64.0%) or triaging (54.9%). Being informed about use of AI-assisted image assessment was considered important, and a reading strategy of AI in combination with one radiologist preferred. Having extensive knowledge of AI was associated with willingness to participate in AI studies (decision support; odds ratio [OR]: 5.1, 95% confidence interval [CI]: 4.1–6.4, and triaging; OR: 3.4, 95% CI: 2.8–4.0) and trust in AI’s independent assessment (OR: 6.8, 95% CI: 5.7, 8.3).
Women invited to BreastScreen Norway had a positive attitude towards the use of AI in image assessment, given that human readers are still involved. Targeted information and increased public knowledge of AI could help achieve high participation in AI studies and successful implementation of AI in mammography screening.</description><identifier>ISSN: 0720-048X</identifier><identifier>ISSN: 1872-7727</identifier><identifier>EISSN: 1872-7727</identifier><identifier>DOI: 10.1016/j.ejrad.2024.111431</identifier><identifier>PMID: 38520804</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Adult ; Aged ; Artificial Intelligence ; Breast neoplasms ; Breast Neoplasms - diagnostic imaging ; Early Detection of Cancer ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Mammography ; Mammography - methods ; Mammography - psychology ; Mass screening ; Mass Screening - methods ; Middle Aged ; Norway ; Questionnaires ; Survey ; Surveys and Questionnaires</subject><ispartof>European journal of radiology, 2024-06, Vol.175, p.111431-111431, Article 111431</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c333t-bdf84741ac58a5bd9dcaddda9ec163b2d80a0704600d15aef3d106b1655c65663</cites><orcidid>0000-0003-0178-8939</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejrad.2024.111431$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,26567,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38520804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Holen, Åsne Sørlien</creatorcontrib><creatorcontrib>Martiniussen, Marit Almenning</creatorcontrib><creatorcontrib>Bergan, Marie Burns</creatorcontrib><creatorcontrib>Moshina, Nataliia</creatorcontrib><creatorcontrib>Hovda, Tone</creatorcontrib><creatorcontrib>Hofvind, Solveig</creatorcontrib><title>Women’s attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms</title><title>European journal of radiology</title><addtitle>Eur J Radiol</addtitle><description>•Screening participants are positive of artificial intelligence in image assessment.•Respondents preferred artificial intelligence in combination with human readers.•Respondents stressed information need in utilization of artificial intelligence.•Level of knowledge and education impacted attitude of artificial intelligence.
To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.
An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening. Analyses were performed using χ2 and logistic regression tests.
General knowledge of AI was reported as extensive by 11.0% of the 8,355 respondents. Respondents were willing to participate in studies using AI either for decision support (64.0%) or triaging (54.9%). Being informed about use of AI-assisted image assessment was considered important, and a reading strategy of AI in combination with one radiologist preferred. Having extensive knowledge of AI was associated with willingness to participate in AI studies (decision support; odds ratio [OR]: 5.1, 95% confidence interval [CI]: 4.1–6.4, and triaging; OR: 3.4, 95% CI: 2.8–4.0) and trust in AI’s independent assessment (OR: 6.8, 95% CI: 5.7, 8.3).
Women invited to BreastScreen Norway had a positive attitude towards the use of AI in image assessment, given that human readers are still involved. Targeted information and increased public knowledge of AI could help achieve high participation in AI studies and successful implementation of AI in mammography screening.</description><subject>Adult</subject><subject>Aged</subject><subject>Artificial Intelligence</subject><subject>Breast neoplasms</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Early Detection of Cancer</subject><subject>Female</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Humans</subject><subject>Mammography</subject><subject>Mammography - methods</subject><subject>Mammography - psychology</subject><subject>Mass screening</subject><subject>Mass Screening - methods</subject><subject>Middle Aged</subject><subject>Norway</subject><subject>Questionnaires</subject><subject>Survey</subject><subject>Surveys and Questionnaires</subject><issn>0720-048X</issn><issn>1872-7727</issn><issn>1872-7727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>3HK</sourceid><recordid>eNp9kc9u1DAQxi0EotvCEyBBjlyyjP8kTg4cUFUoUqVeQHCzHHuyeLVxFo9TiRuv0dfrk-Dtthx78nj0m28038fYGw5rDrz9sF3jNlm_FiDUmnOuJH_GVrzTotZa6OdsBVpADar7ecJOibYA0KhevGQnsmsEdKBWLP-YJ4x3f2-psjmHvHgsVfTVHhPt0eVwUxpzrPIvrBbCah4rm3IYgwt2V4WYcbcLG4wOy-eeskRIVFTzASaXEGOIm2qy0zRvkp3oFXsx2h3h64f3jH3_fPHt_LK-uv7y9fzTVe2klLke_Ngprbh1TWebwffeWe-97dHxVg7Cd2BBg2oBPG8sjtJzaAfeNo1rm7aVZ-zdUdelQDlEE-dkDQeQ2kjVK1GI90din-bfC1I2UyBXTrIR54WM6LUCaDXwgspHsZko4Wj2KUw2_SmC5hCI2Zr7QMwhEHMMpEy9fViwDBP6_zOPCRTg4xHAYsRNwGTIhYOdPqRiv_FzeHLBPxzSnsY</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Holen, Åsne Sørlien</creator><creator>Martiniussen, Marit Almenning</creator><creator>Bergan, Marie Burns</creator><creator>Moshina, Nataliia</creator><creator>Hovda, Tone</creator><creator>Hofvind, Solveig</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>3HK</scope><orcidid>https://orcid.org/0000-0003-0178-8939</orcidid></search><sort><creationdate>20240601</creationdate><title>Women’s attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms</title><author>Holen, Åsne Sørlien ; Martiniussen, Marit Almenning ; Bergan, Marie Burns ; Moshina, Nataliia ; Hovda, Tone ; Hofvind, Solveig</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-bdf84741ac58a5bd9dcaddda9ec163b2d80a0704600d15aef3d106b1655c65663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Artificial Intelligence</topic><topic>Breast neoplasms</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Early Detection of Cancer</topic><topic>Female</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Humans</topic><topic>Mammography</topic><topic>Mammography - methods</topic><topic>Mammography - psychology</topic><topic>Mass screening</topic><topic>Mass Screening - methods</topic><topic>Middle Aged</topic><topic>Norway</topic><topic>Questionnaires</topic><topic>Survey</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Holen, Åsne Sørlien</creatorcontrib><creatorcontrib>Martiniussen, Marit Almenning</creatorcontrib><creatorcontrib>Bergan, Marie Burns</creatorcontrib><creatorcontrib>Moshina, Nataliia</creatorcontrib><creatorcontrib>Hovda, Tone</creatorcontrib><creatorcontrib>Hofvind, Solveig</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>NORA - Norwegian Open Research Archives</collection><jtitle>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Holen, Åsne Sørlien</au><au>Martiniussen, Marit Almenning</au><au>Bergan, Marie Burns</au><au>Moshina, Nataliia</au><au>Hovda, Tone</au><au>Hofvind, Solveig</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Women’s attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>175</volume><spage>111431</spage><epage>111431</epage><pages>111431-111431</pages><artnum>111431</artnum><issn>0720-048X</issn><issn>1872-7727</issn><eissn>1872-7727</eissn><abstract>•Screening participants are positive of artificial intelligence in image assessment.•Respondents preferred artificial intelligence in combination with human readers.•Respondents stressed information need in utilization of artificial intelligence.•Level of knowledge and education impacted attitude of artificial intelligence.
To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway.
An anonymous survey was sent to all women invited to BreastScreen Norway during the study period, October 10, 2022, to December 25, 2022 (n = 84,543). Questions were answered on a 10-point Likert scale and as multiple-choice, addressing knowledge of AI, willingness to participate in AI studies, information needs, confidence in AI results and AI assisted reading strategies, and thoughts on concerns and benefits of AI in mammography screening. Analyses were performed using χ2 and logistic regression tests.
General knowledge of AI was reported as extensive by 11.0% of the 8,355 respondents. Respondents were willing to participate in studies using AI either for decision support (64.0%) or triaging (54.9%). Being informed about use of AI-assisted image assessment was considered important, and a reading strategy of AI in combination with one radiologist preferred. Having extensive knowledge of AI was associated with willingness to participate in AI studies (decision support; odds ratio [OR]: 5.1, 95% confidence interval [CI]: 4.1–6.4, and triaging; OR: 3.4, 95% CI: 2.8–4.0) and trust in AI’s independent assessment (OR: 6.8, 95% CI: 5.7, 8.3).
Women invited to BreastScreen Norway had a positive attitude towards the use of AI in image assessment, given that human readers are still involved. Targeted information and increased public knowledge of AI could help achieve high participation in AI studies and successful implementation of AI in mammography screening.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>38520804</pmid><doi>10.1016/j.ejrad.2024.111431</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0178-8939</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | European journal of radiology, 2024-06, Vol.175, p.111431-111431, Article 111431 |
| issn | 0720-048X 1872-7727 1872-7727 |
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| source | MEDLINE; NORA - Norwegian Open Research Archives; Elsevier ScienceDirect Journals Complete |
| subjects | Adult Aged Artificial Intelligence Breast neoplasms Breast Neoplasms - diagnostic imaging Early Detection of Cancer Female Health Knowledge, Attitudes, Practice Humans Mammography Mammography - methods Mammography - psychology Mass screening Mass Screening - methods Middle Aged Norway Questionnaires Survey Surveys and Questionnaires |
| title | Women’s attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms |
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