Women's attitudes to the use of AI image readers: a case study from a national breast screening programme. Issue 1 (1st April 2021)
- Record Type:
- Journal Article
- Title:
- Women's attitudes to the use of AI image readers: a case study from a national breast screening programme. Issue 1 (1st April 2021)
- Main Title:
- Women's attitudes to the use of AI image readers: a case study from a national breast screening programme
- Authors:
- Lennox-Chhugani, Niamh
Chen, Yan
Pearson, Veronica
Trzcinski, Bernadette
James, Jonathan - Abstract:
- Abstract : Background: Researchers and developers are evaluating the use of mammogram readers that use artificial intelligence (AI) in clinical settings. Objectives: This study examines the attitudes of women, both current and future users of breast screening, towards the use of AI in mammogram reading. Methods: We used a cross-sectional, mixed methods study design with data from the survey responses and focus groups. We researched in four National Health Service hospitals in England. There we approached female workers over the age of 18 years and their immediate friends and family. We collected 4096 responses. Results: Through descriptive statistical analysis, we learnt that women of screening age (≥50 years) were less likely than women under screening age to use technology apps for healthcare advice (likelihood ratio=0.85, 95% CI 0.82 to 0.89, p<0.001). They were also less likely than women under screening age to agree that AI can have a positive effect on society (likelihood ratio=0.89, 95% CI 0.84 to 0.95, p<0.001). However, they were more likely to feel positive about AI used to read mammograms (likelihood ratio=1.09, 95% CI 1.02 to 1.17, p=0.009). Discussion and Conclusions: Women of screening age are ready to accept the use of AI in breast screening but are less likely to use other AI-based health applications. A large number of women are undecided, or had mixed views, about the use of AI generally and they remain to be convinced that it can be trusted.
- Is Part Of:
- BMJ health & care informatics. Volume 28:Issue 1(2021)
- Journal:
- BMJ health & care informatics
- Issue:
- Volume 28:Issue 1(2021)
- Issue Display:
- Volume 28, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 28
- Issue:
- 1
- Issue Sort Value:
- 2021-0028-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04-01
- Subjects:
- health care -- information science -- public health
Medical informatics -- Great Britain -- Periodicals
Information storage and retrieval systems -- Medical care -- Periodicals
Primary care (Medicine) -- Great Britain -- Data processing -- Periodicals
362.10285 - Journal URLs:
- http://www.bmj.com/archive ↗
https://informatics.bmj.com/ ↗ - DOI:
- 10.1136/bmjhci-2020-100293 ↗
- Languages:
- English
- ISSNs:
- 2632-1009
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 17161.xml