Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Department of Radiology, Østfold Hospital Trust, Kalnes, Norway; University of Oslo, Institute of Clinical Medicine, Oslo, Norway.
Eur J Radiol. 2024 Jun;175:111431. doi: 10.1016/j.ejrad.2024.111431. Epub 2024 Mar 16.
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 χ 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.
调查在挪威乳房 X 光筛查计划中邀请的女性对人工智能(AI)在筛查乳房 X 光片评估中应用的态度和看法。
2022 年 10 月 10 日至 12 月 25 日期间,向所有参加挪威乳房 X 光筛查计划的女性发送了一份匿名调查(n=84543)。问题采用 10 点李克特量表和多项选择回答,涉及对 AI 的了解、参与 AI 研究的意愿、信息需求、对 AI 结果的信心和 AI 辅助阅读策略,以及对 AI 在乳房 X 光筛查中的担忧和益处的看法。分析采用 χ 检验和逻辑回归检验。
8355 名受访者中,11.0%报告对 AI 有广泛的了解。受访者愿意参与使用 AI 进行决策支持(64.0%)或分诊(54.9%)的研究。他们认为被告知 AI 辅助图像评估的使用情况很重要,并且更喜欢 AI 与一名放射科医生联合进行阅读的策略。对 AI 有广泛了解与参与 AI 研究的意愿(决策支持;优势比[OR]:5.1,95%置信区间[CI]:4.1-6.4,和分诊;OR:3.4,95% CI:2.8-4.0)和对 AI 独立评估的信任(OR:6.8,95% CI:5.7-8.3)相关。
在邀请参加挪威乳房 X 光筛查计划的女性中,对于在图像评估中使用 AI 持积极态度,因为仍有人类读者参与。有针对性的信息和提高公众对 AI 的了解,有助于实现 AI 研究的高参与度和在乳房 X 光筛查中的成功实施。