Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists

被引:3
|
作者
Hogberg, Charlotte [1 ]
Larsson, Stefan [1 ]
Lang, Kristina [2 ,3 ]
机构
[1] Lund Univ, Fac Engn, Dept Technol & Soc, Lund, Sweden
[2] Lund Univ, Fac Med, Dept Translat Med, Diagnost Radiol, Lund, Sweden
[3] Skane Univ Hosp Lund, Unilabs Mammog Unit, Malmo, Sweden
关键词
Artificial intelligence; Decision Making; Computer-Assisted; Decision Support Systems; Clinical; Machine Learning;
D O I
10.1136/bmjhci-2022-100712
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
ObjectivesArtificial intelligence (AI) is increasingly tested and integrated into breast cancer screening. Still, there are unresolved issues regarding its possible ethical, social and legal impacts. Furthermore, the perspectives of different actors are lacking. This study investigates the views of breast radiologists on AI-supported mammography screening, with a focus on attitudes, perceived benefits and risks, accountability of AI use, and potential impact on the profession.MethodsWe conducted an online survey of Swedish breast radiologists. As early adopter of breast cancer screening, and digital technologies, Sweden is a particularly interesting case to study. The survey had different themes, including: attitudes and responsibilities pertaining to AI, and AI's impact on the profession. Responses were analysed using descriptive statistics and correlation analyses. Free texts and comments were analysed using an inductive approach.ResultsOverall, respondents (47/105, response rate 44.8%) were highly experienced in breast imaging and had a mixed knowledge of AI. A majority (n=38, 80.8%) were positive/somewhat positive towards integrating AI in mammography screening. Still, many considered there to be potential risks to a high/somewhat high degree (n=16, 34.1%) or were uncertain (n=16, 34.0%). Several important uncertainties were identified, such as defining liable actor(s) when AI is integrated into medical decision-making.ConclusionsSwedish breast radiologists are largely positive towards integrating AI in mammography screening, but there are significant uncertainties that need to be addressed, especially regarding risks and responsibilities. The results stress the importance of understanding actor-specific and context-specific challenges to responsible implementation of AI in healthcare.
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页数:8
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