Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists
Objectives Artificial 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2023-12-01
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| Series: | BMJ Health & Care Informatics |
| Online Access: | https://informatics.bmj.com/content/30/1/e100712.full |
| _version_ | 1797364864111345664 |
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| author | Charlotte Högberg Stefan Larsson Kristina Lång |
| author_facet | Charlotte Högberg Stefan Larsson Kristina Lång |
| author_sort | Charlotte Högberg |
| collection | DOAJ |
| description | Objectives Artificial 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.Methods We 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.Results Overall, 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.Conclusions Swedish 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. |
| first_indexed | 2024-03-08T16:41:14Z |
| format | Article |
| id | doaj.art-7ef2dd7d99364d4a9cfb357d9a892b38 |
| institution | Directory Open Access Journal |
| issn | 2632-1009 |
| language | English |
| last_indexed | 2024-03-08T16:41:14Z |
| publishDate | 2023-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Health & Care Informatics |
| spelling | doaj.art-7ef2dd7d99364d4a9cfb357d9a892b382024-01-05T09:55:08ZengBMJ Publishing GroupBMJ Health & Care Informatics2632-10092023-12-0130110.1136/bmjhci-2022-100712Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologistsCharlotte Högberg0Stefan Larsson1Kristina Lång2Department of Technology and Society, Lund University Faculty of Engineering, Lund, SwedenDepartment of Technology and Society, Lund University Faculty of Engineering, Lund, SwedenDepartment of Translational Medicine, Diagnostic Radiology, Lund University Faculty of Medicine, Lund, SwedenObjectives Artificial 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.Methods We 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.Results Overall, 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.Conclusions Swedish 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.https://informatics.bmj.com/content/30/1/e100712.full |
| spellingShingle | Charlotte Högberg Stefan Larsson Kristina Lång Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists BMJ Health & Care Informatics |
| title | Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists |
| title_full | Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists |
| title_fullStr | Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists |
| title_full_unstemmed | Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists |
| title_short | Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists |
| title_sort | anticipating artificial intelligence in mammography screening views of swedish breast radiologists |
| url | https://informatics.bmj.com/content/30/1/e100712.full |
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