دورية أكاديمية
Women's attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms.
| العنوان: | Women's attitudes and perspectives on the use of artificial intelligence in the assessment of screening mammograms. |
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| المؤلفون: | Holen ÅS; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: asho@kreftregsteret.no., Martiniussen MA; Department of Radiology, Østfold Hospital Trust, Kalnes, Norway; University of Oslo, Institute of Clinical Medicine, Oslo, Norway. Electronic address: almenning.martiniussen@so-hf.no., Bergan MB; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: mbbe@kreftregisteret.no., Moshina N; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway. Electronic address: namo@kreftregisteret.no., Hovda T; Department of Radiology, Vestre Viken Hospital Trust, Drammen, Norway. Electronic address: tone.hovda@vestreviken.no., Hofvind S; Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway; Department of Health and Care Sciences, UiT, The Artic University of Norway, Tromsø, Norway. Electronic address: sshh@kreftregisteret.no. |
| المصدر: | European journal of radiology [Eur J Radiol] 2024 Jun; Vol. 175, pp. 111431. Date of Electronic Publication: 2024 Mar 16. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Limerick : Elsevier Science Ireland Ltd Original Publication: Stuttgart ; New York : Thieme, [c1981- |
| مواضيع طبية MeSH: | Mammography*/methods , Mammography*/psychology , Artificial Intelligence* , Breast Neoplasms*/diagnostic imaging , Early Detection of Cancer*, Humans ; Female ; Norway ; Middle Aged ; Surveys and Questionnaires ; Aged ; Adult ; Health Knowledge, Attitudes, Practice ; Mass Screening/methods |
| مستخلص: | Purpose: To investigate attitudes and perspectives on the use of artificial intelligence (AI) in the assessment of screening mammograms among women invited to BreastScreen Norway. Method: 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 χ 2 and logistic regression tests. Results: 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). Conclusions: 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. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Artificial intelligence; Breast neoplasms; Mammography; Mass screening; Questionnaires; Survey |
| تواريخ الأحداث: | Date Created: 20240323 Date Completed: 20240514 Latest Revision: 20240515 |
| رمز التحديث: | 20240516 |
| DOI: | 10.1016/j.ejrad.2024.111431 |
| PMID: | 38520804 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1872-7727 |
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| DOI: | 10.1016/j.ejrad.2024.111431 |