Journal Club: Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme

Join lead author Niamh Lennox-Chhugani, Chief Executive from the International Foundation for Integrated Care (IFIC), and co-author, Dr Yan Chen, Associate Professor of Cancer Screening, Faculty of Medicine & Health Sciences, University of Nottingham, in discussion with Katie MacLure, Chair of BCS Health & Care Scotland, for our next live BCS (CITP) BMJ HCI Journal Club hosted by Digital Health.

Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme
https://informatics.bmj.com/content/28/1/e100293

Synopsis

Researchers and developers are evaluating the use of mammogram readers that use artificial intelligence (AI) in clinical settings. In this study, the authors examined the attitudes of women towards the use of AI in mammogram reading using both a survey and focus groups. Based on the views of 4096 participants, the author concluded that 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.

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