RT Journal Article
SR Electronic
T1 Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme
JF BMJ Health & Care Informatics
JO BMJ Health Care Inform
FD BMJ Publishing Group Ltd
SP e100293
DO 10.1136/bmjhci-2020-100293
VO 28
IS 1
A1 Niamh Lennox-Chhugani
A1 Yan Chen
A1 Veronica Pearson
A1 Bernadette Trzcinski
A1 Jonathan James
YR 2021
UL http://informatics.bmj.com/content/28/1/e100293.abstract
AB 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.All data relevant to the study are included in the article or uploaded as supplementary information. Datasets are available upon reasonable request.