Charlotte Högberg
Doktorand
Anticipating Artificial Intelligence in Mammography Screening : Views of Swedish Breast Radiologists
Författare
Summary, in English
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.
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.
Avdelning/ar
- Institutionen för teknik och samhälle
- AI och samhälle
- eSSENCE: The e-Science Collaboration
- LUCC: Lunds universitets cancercentrum
- Diagnostisk radiologi, Malmö
Publiceringsår
2023-05-22
Språk
Engelska
Sidor
1-8
Publikation/Tidskrift/Serie
BMJ Health & Care Informatics
Volym
30
Issue
1
Fulltext
- Available as PDF - 960 kB
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Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
BMJ Publishing Group
Ämne
- Information Systems, Social aspects
- Sociology (excluding Social Work, Social Psychology and Social Anthropology)
- Radiology, Nuclear Medicine and Medical Imaging
Nyckelord
- Artificial intelligence
- Mammography
- Screening
- Radiologists
- Clinical Decision-Making
- Information Studies
- social informatics
Status
Published
Projekt
- AI in the Name of the Common Good - Relations of data, AI and humans in health and public sector
- Mammography Screening with Artificial Intelligence
- AIR Lund - Artificially Intelligent use of Registers
Forskningsgrupp
- AI and Society
- Radiology Diagnostics, Malmö
ISBN/ISSN/Övrigt
- ISSN: 2632-1009