Parental and carer views on the use of AI in imaging for children: a national survey.
Authors
Affiliations (11)
Affiliations (11)
- Imperial College Healthcare NHS Trust, London, UK. [email protected].
- Kings College Hospital NHS Foundation Trust, London, UK.
- Young Persons Advisory Group (YPAG), Great Ormond Street Hospital for Children, London, UK.
- Guy's and St Thomas' NHS Foundation Trust, London, UK.
- St George's Hospital, London, UK.
- Victoria Hospital, NHS Fife, Kirkcaldy, Scotland, UK.
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK.
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, London, UK.
- University College London, London, UK.
- UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK.
- NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK.
Abstract
Although the use of artificial intelligence (AI) in healthcare is increasing, stakeholder engagement remains poor, particularly relating to understanding parent/carer acceptance of AI tools in paediatric imaging. We explore these perceptions and compare them to the opinions of children and young people (CYAP). A UK national online survey was conducted, inviting parents, carers and guardians of children to participate. The survey was "live" from June 2022 to 2023. The survey included questions asking about respondents' views of AI in general, as well as in specific circumstances (e.g. fractures) with respect to children's healthcare. One hundred forty-six parents/carers (mean age = 45; range = 21-80) from all four nations of the UK responded. Most respondents (93/146, 64%) believed that AI would be more accurate at interpreting paediatric musculoskeletal radiographs than healthcare professionals, but had a strong preference for human supervision (66%). Whilst male respondents were more likely to believe that AI would be more accurate (55/72, 76%), they were twice as likely as female parents/carers to believe that AI use could result in their child's data falling into the wrong hands. Most respondents would like to be asked permission before AI is used for the interpretation of their child's scans (104/146, 71%). Notably, 79% of parents/carers prioritised accuracy over speed compared to 66% of CYAP. Parents/carers feel positively about AI for paediatric imaging but strongly discourage autonomous use. Acknowledging the diverse opinions of the patient population is vital in aiding the successful integration of AI for paediatric imaging. Parents/carers demonstrate a preference for AI use with human supervision that prioritises accuracy, transparency and institutional accountability. AI is welcomed as a supportive tool, but not as a substitute for human expertise. Parents/carers are accepting of AI use, with human supervision. Over half believe AI would replace doctors/nurses looking at bone X-rays within 5 years. Parents/carers are more likely than CYAP to trust AI's accuracy. Parents/carers are also more sceptical about AI data misuse.