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“人类跳出像素看问题”——在临床环境下,放射科医生对在乳腺 X 光筛查中使用人工智能进行乳腺癌检测的看法。

'Humans think outside the pixels' - Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting.

机构信息

Department of Public Health and Caring Sciences, Centre for Research Ethics & Bioethics, Uppsala University, Uppsala, Sweden.

Institute for Futures Studies, Stockholm, Sweden; Department of Urban Planning and Environment, KTH Royal Institute of Technology, Stockholm, Sweden.

出版信息

Health Informatics J. 2024 Jul-Sep;30(3):14604582241275020. doi: 10.1177/14604582241275020.


DOI:10.1177/14604582241275020
PMID:39155239
Abstract

OBJECTIVE: This study aimed to explore radiologists' views on using an artificial intelligence (AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision support tool in mammography screening during a clinical trial at Capio Sankt Göran Hospital, Sweden. METHODS: We conducted semi-structured interviews with seven breast imaging radiologists, evaluated using inductive thematic content analysis. RESULTS: We identified three main thematic categories: AI in society, reflecting views on AI's contribution to the healthcare system; AI-human interactions, addressing the radiologists' self-perceptions when using the AI and its potential challenges to their profession; and AI as a tool among others. The radiologists were generally positive towards AI, and they felt comfortable handling its sometimes-ambiguous outputs and erroneous evaluations. While they did not feel that it would undermine their profession, they preferred using it as a complementary reader rather than an independent one. CONCLUSION: The results suggested that breast radiology could become a launch pad for AI in healthcare. We recommend that this exploratory work on subjective perceptions be complemented by quantitative assessments to generalize the findings.

摘要

目的:本研究旨在探讨放射科医生在瑞典卡皮奥圣歌兰医院(Capio Sankt Göran Hospital)的临床试验中,将飞利浦设备上名为 ScreenTrustCAD 的人工智能(AI)工具作为乳腺摄影筛查中的诊断决策支持工具的看法。

方法:我们对 7 名乳腺影像放射科医生进行了半结构化访谈,并采用归纳主题内容分析法进行评估。

结果:我们确定了三个主要的主题类别:AI 在社会中的作用,反映了 AI 对医疗保健系统的贡献;AI-人机交互,探讨了放射科医生在使用 AI 时的自我认知及其对其职业的潜在挑战;以及 AI 作为众多工具之一。放射科医生普遍对 AI 持积极态度,他们对其有时模棱两可的输出和错误评估感到满意。虽然他们不认为这会削弱他们的职业,但他们更愿意将其作为辅助读者,而不是独立读者。

结论:研究结果表明,乳腺放射学可能成为医疗保健中 AI 的起点。我们建议,应该用定量评估来补充这种主观感知的探索性工作,以推广研究结果。

相似文献

[1]
'Humans think outside the pixels' - Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting.

Health Informatics J. 2024

[2]
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study.

Lancet Digit Health. 2023-10

[3]
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

JAMA Netw Open. 2020-3-2

[4]
Women's perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study.

BMJ Open. 2024-2-14

[5]
Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists.

BMJ Health Care Inform. 2023-5

[6]
Radiologists' perceptions on AI integration: An in-depth survey study.

Eur J Radiol. 2024-8

[7]
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.

Lancet Digit Health. 2020-3

[8]
Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.

Eur Radiol. 2024-8

[9]
Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.

Breast Cancer Res. 2024-4-22

[10]
Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation.

J Am Coll Radiol. 2022-10

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