Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England

Abstract

Introduction: Preliminary studies of artificial intelligence (AI) tools developed to support breast screening demonstrate the potential to reduce radiologist burden and improve cancer detection which could lead to improved breast cancer outcomes. This study explores the public acceptability of the use of AI in breast screening from the perspective of screening-eligible women in England. Methods: 64 women in England, aged 50-70 years (eligible for breast screening) and 45-49 years (approaching eligibility), participated in 12 focus groups-8 online and 4 in person. Specific scenarios in which AI may be used in the mammogram reading process were presented. Data were analysed using a reflexive thematic analysis. Results: of scans included insistence that any AI be thoroughly trialled, tested and not solely relied on when initially implemented. Conclusions: It will be essential that future decision-making and communication about AI implementation in breast screening (and, likely, in healthcare more widely) address concerns surrounding (1) the fallibility of AI, (2) lack of inclusion, control and transparency in relation to healthcare and technology decisions and (3) humans being left redundant and unneeded, while building on women's hopes for the technology.

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