妇女对在乳腺癌筛查中使用人工智能的看法:指导乳腺癌筛查服务的回顾与定性研究。

IF 5.7 2区 医学 Q1 OBSTETRICS & GYNECOLOGY
Stacy M. Carter , Diana Popic , M. Luke Marinovich , Lucy Carolan , Nehmat Houssami
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引用次数: 0

摘要

随着乳腺筛查服务逐渐使用医疗人工智能(HCAI)进行屏幕阅读,有关公众对 HCAI 的看法的研究可以为更加以人为本的实施提供参考。我们综述了公众对 HCAI 的总体看法,并回顾了有关妇女对乳腺筛查中人工智能看法的主要研究。人们普遍对 HCAI 及其潜在益处持开放态度,尽管存在各种顾虑;同样,由于潜在益处,女性对乳腺筛查中的人工智能持开放态度,但对各种风险表示担忧。女性希望放射科医生仍然是核心;监督、评估和绩效、护理、公平和偏见、透明度和问责制是关键问题;女性对人工智能错误的容忍度可能低于对人为错误的容忍度。我们利用最近在澳大利亚进行的初步研究,说明了在收集数据前告知参与者的价值以及女性的观点。在这项研究中,40 名适龄女性对乳腺筛查人工智能的实施提出了四个主要条件:1) 保持人为控制;2) 有力的绩效证据;3) 支持熟悉人工智能;4) 提供引入人工智能的充分理由。为支持熟悉人工智能提供了三种解决方案:透明度和信息;缓慢和分阶段实施;允许妇女选择不阅读人工智能。我们为在医疗保健领域实施人工智能和研究公众对 HCAI 的看法提供了指导建议。乳腺筛查服务机构应透明人工智能的使用情况,并与妇女分享有关乳腺筛查人工智能的信息。实施过程应缓慢且分阶段进行,并在可能的情况下提供退出选项。筛查服务机构应表现出强大的管理能力,以保持临床医生的控制权,展示人工智能系统的卓越性能,确保数据保护和减少偏差,并提供充分的理由证明实施的合理性。当这些措施落实到位时,妇女更有可能认为在乳腺筛查中使用 HCAI 是合法且可接受的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Women's views on using artificial intelligence in breast cancer screening: A review and qualitative study to guide breast screening services

As breast screening services move towards use of healthcare AI (HCAI) for screen reading, research on public views of HCAI can inform more person-centered implementation. We synthesise reviews of public views of HCAI in general, and review primary studies of women's views of AI in breast screening. People generally appear open to HCAI and its potential benefits, despite a wide range of concerns; similarly, women are open towards AI in breast screening because of the potential benefits, but are concerned about a wide range of risks. Women want radiologists to remain central; oversight, evaluation and performance, care, equity and bias, transparency, and accountability are key issues; women may be less tolerant of AI error than of human error. Using our recent Australian primary study, we illustrate both the value of informing participants before collecting data, and women's views. The 40 screening-age women in this study stipulated four main conditions on breast screening AI implementation: 1) maintaining human control; 2) strong evidence of performance; 3) supporting familiarisation with AI; and 4) providing adequate reasons for introducing AI. Three solutions were offered to support familiarisation: transparency and information; slow and staged implementation; and allowing women to opt-out of AI reading. We provide recommendations to guide both implementation of AI in healthcare and research on public views of HCAI. Breast screening services should be transparent about AI use and share information about breast screening AI with women. Implementation should be slow and staged, providing opt-out options if possible. Screening services should demonstrate strong governance to maintain clinician control, demonstrate excellent AI system performance, assure data protection and bias mitigation, and give good reasons to justify implementation. When these measures are put in place, women are more likely to see HCAI use in breast screening as legitimate and acceptable.

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来源期刊
Breast
Breast 医学-妇产科学
CiteScore
8.70
自引率
2.60%
发文量
165
审稿时长
59 days
期刊介绍: The Breast is an international, multidisciplinary journal for researchers and clinicians, which focuses on translational and clinical research for the advancement of breast cancer prevention, diagnosis and treatment of all stages.
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