Engaging with artificial intelligence in Mammography Screening : Swedish breast radiologists’ views on trust, information and expertise
| العنوان: | Engaging with artificial intelligence in Mammography Screening : Swedish breast radiologists’ views on trust, information and expertise |
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| المؤلفون: | Högberg, Charlotte, Larsson, Stefan, Lång, Kristina |
| المصدر: | Digital Health eSSENCE: The e-Science Collaboration. 10:1-13 |
| مصطلحات موضوعية: | Artifical Intelligence, Breast cancer, Mass screening, Radiologists, Trust, Transparency, Information, Literacy, Expertise, AI, Samhällsvetenskap, Sociologi, Social Sciences, Sociology, Medie- och kommunikationsvetenskap, Media and Communications, Medicin och hälsovetenskap, Klinisk medicin, Radiologi och bildbehandling, Medical and Health Sciences, Clinical Medicine, Radiology, Nuclear Medicine and Medical Imaging |
| الوصف: | ObjectivesLack of trust and transparency is stressed as a challenge for clinical implementation of Artificial Intelligence (AI). In breast cancer screening, AI-supported reading shows promising results but more research is needed on how medical experts, that are facing the integration of AI into their work, reason about trust and information needs. From a sociotechnical information practice perspective, we add to this knowledge by a Swedish case study. This study aims to: 1) clarify Swedish breast radiologists’ views on trust, information and expertise pertaining to AI in mammography screening, and 2) analytically address ideas about medical professionals’ critical engagement with AI and motivations for trust in AI.MethodAn online survey was distributed to Swedish breast radiologists. Survey responses were analysed by descriptive statistical method, correlation analysis, and qualitative content analysis. The results were used as foundation for analysing trust and information as parts of critical engagements with AI.ResultsOf the Swedish breast radiologists (n=105), 47 answered the survey (response rate=44.8%). 53.2% (n=25) of the respondents would to a high/somewhat high degree trust AI assessments. To a great extent, additional information would support the respondents’ trust evaluations. What type of critical engagement medical professionals are expected to perform on AI as decision-support remains unclear.ConclusionsThere is a demand for enhanced information, explainability and transparency of AI-supported mammography. Further discussion and agreement are needed considering what the desired goals for trust in AI should be and how it relates to medical professionals’ critical evaluation of AI-made claims in medical decision-support. |
| وصف الملف: | electronic |
| URL الوصول: | https://lup.lub.lu.se/record/c3112817-26a3-446c-a08e-74cafce0fd2d https://portal.research.lu.se/files/196750093/hogberg-et-al-2024-engaging-with-artificial-intelligence-in-mammography-screening-swedish-breast-radiologists-views-on.pdf http://dx.doi.org/10.1177/20552076241287958 |
| قاعدة البيانات: | SwePub |
| تدمد: | 20552076 |
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| DOI: | 10.1177/20552076241287958 |