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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 o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230899/ https://www.ncbi.nlm.nih.gov/pubmed/37217249 http://dx.doi.org/10.1136/bmjhci-2022-100712 |
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author | Högberg, Charlotte Larsson, Stefan Lång, Kristina |
author_facet | Högberg, Charlotte Larsson, Stefan Lång, Kristina |
author_sort | Högberg, Charlotte |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10230899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-102308992023-06-01 Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists Högberg, Charlotte Larsson, Stefan Lång, Kristina BMJ Health Care Inform Original Research 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. BMJ Publishing Group 2023-05-22 /pmc/articles/PMC10230899/ /pubmed/37217249 http://dx.doi.org/10.1136/bmjhci-2022-100712 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Högberg, Charlotte Larsson, Stefan Lång, Kristina Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists |
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 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230899/ https://www.ncbi.nlm.nih.gov/pubmed/37217249 http://dx.doi.org/10.1136/bmjhci-2022-100712 |
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