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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。

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'Humans think outside the pixels' - Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting.“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。
Health Informatics J. 2024 Jul-Sep;30(3):14604582241275020. doi: 10.1177/14604582241275020.
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Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study.瑞典筛查性乳腺钼靶摄影中用于乳腺癌检测的人工智能:一项前瞻性、基于人群、配对读者、非劣效性研究。
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