"How I would like AI used for my imaging": children and young persons' perspectives
Creators
- 1. Young Persons Advisory Group (YPAG), Great Ormond Street Hospital for Children, WC1H 3JH, London (United Kingdom)
- 2. Kings College Hospital NHS Foundation Trust, London (United Kingdom)
- 3. Guy's and St Thomas' NHS Foundation Trust, London (United Kingdom)
- 4. St George's Hospital, Blackshaw Road, Tooting London, London (United Kingdom)
- 5. Royal Hospital for Children & Young People, Edinburgh, Scotland (United Kingdom)
- 6. Department of Clinical Radiology, Great Ormond Street Hospital for Children, WC1H 3JH, London (United Kingdom)
- 7. Wellcome/ EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, W1W 7TY, London (United Kingdom)
- 8. University College London, Gower Street, WC1E 6BT, London (United Kingdom)
- 9. NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, Bloomsbury, WC1N 1EH, London (United Kingdom)
- 10. UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, UK, WC1N 1EH, London (United Kingdom)
Description
Artificial intelligence (AI) tools are becoming more available in modern healthcare, particularly in radiology, although less attention has been paid to applications for children and young people. In the development of these, it is critical their views are heard. A national, online survey was publicised to UK schools, universities and charity partners encouraging any child or young adult to participate. The survey was "live" for one year (June 2022 to 2023). Questions about views of AI in general, and in specific circumstances (e.g. bone fractures) were asked. One hundred and seventy-one eligible responses were received, with a mean age of 19 years (6-23 years) with representation across all 4 UK nations. Most respondents agreed or strongly agreed they wanted to know the accuracy of an AI tool that was being used (122/171, 71.3%), that accuracy was more important than speed (113/171, 66.1%), and that AI should be used with human oversight (110/171, 64.3%). Many respondents (73/171, 42.7%) felt AI would be more accurate at finding problems on bone X-rays than humans, with almost all respondents who had sustained a missed fracture strongly agreeing with that sentiment (12/14, 85.7%). Children and young people in our survey had positive views regarding AI, and felt it should be integrated into modern healthcare, but expressed a preference for a "medical professional in the loop" and accuracy of findings over speed. Key themes regarding information on AI performance and governance were raised and should be considered prior to future AI implementation for paediatric healthcare. Artificial intelligence (AI) integration into clinical practice must consider all stakeholders, especially paediatric patients who have largely been ignored. Children and young people favour AI involvement with human oversight, seek assurances for safety, accuracy, and clear accountability in case of failures.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-024-10839-9Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 34
- Journal Issue
- 12
- Journal Page Range
- p. 7751-7764
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 56000890
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ACCURACY; ADOLESCENTS; AGE DEPENDENCE; ARTIFICIAL INTELLIGENCE; ATTITUDES; BONE FRACTURES; CHILDREN; DATA COMPILATION; HEALTH SERVICES; IMAGE PROCESSING; PERFORMANCE; PUBLIC OPINION; RADIOLOGY; RELIABILITY; SAFETY; SEX DEPENDENCE; SKELETON
- Descriptors DEC
- AGE GROUPS; ANIMALS; BODY; DATA; DATA PROCESSING; DISEASES; HUMANS; INFORMATION; INJURIES; MAMMALS; MEDICINE; NUCLEAR MEDICINE; ORGANS; PRIMATES; PROCESSING; SOCIAL SERVICES; VERTEBRATES