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Lee L, Salami RK, Martin H, Shantharam L, Thomas K, Ashworth E, Allan E, Yung KW, Pauling C, Leyden D, Arthurs OJ, Shelmerdine SC. "How I would like AI used for my imaging": children and young persons' perspectives. Eur Radiol 2024:10.1007/s00330-024-10839-9. [PMID: 38900281 DOI: 10.1007/s00330-024-10839-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 04/11/2024] [Accepted: 04/27/2024] [Indexed: 06/21/2024]
Abstract
OBJECTIVES 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. MATERIALS AND METHODS 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. RESULTS 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%). CONCLUSIONS 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. CLINICAL RELEVANCE STATEMENT 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. KEY POINTS Paediatric patient's needs and voices are often overlooked in AI tool design and deployment. Children and young people approved of AI, if paired with human oversight and reliability. Children and young people are stakeholders for developing and deploying AI tools in paediatrics.
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Affiliation(s)
- Lauren Lee
- Young Persons Advisory Group (YPAG), Great Ormond Street Hospital for Children, London, WC1H 3JH, UK
| | | | - Helena Martin
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Kate Thomas
- Royal Hospital for Children & Young People, Edinburgh, Scotland, UK
| | - Emily Ashworth
- St George's Hospital, Blackshaw Road, Tooting London, London, UK
| | - Emma Allan
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, WC1H 3JH, UK
| | - Ka-Wai Yung
- Wellcome/ EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, London, W1W 7TY, UK
| | - Cato Pauling
- University College London, Gower Street, London, WC1E 6BT, UK.
| | - Deirdre Leyden
- Young Persons Advisory Group (YPAG), Great Ormond Street Hospital for Children, London, WC1H 3JH, UK
| | - Owen J Arthurs
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, WC1H 3JH, UK
- UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, Bloomsbury, London, WC1N 1EH, UK
| | - Susan Cheng Shelmerdine
- Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, WC1H 3JH, UK
- UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, UK, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, Bloomsbury, London, WC1N 1EH, UK
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Lovrenski J, Pavićević P. ESPR 2023-Building new bridges from Belgrade. Pediatr Radiol 2024; 54:479-480. [PMID: 38300285 DOI: 10.1007/s00247-024-05866-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Affiliation(s)
- Jovan Lovrenski
- Radiology Department, Institute for Children and Adolescents Health Care of Vojvodina, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 10, 21000, Novi Sad, Serbia.
| | - Polina Pavićević
- Department of Radiology, University Children's Hospital, School of Medicine, University of Belgrade, Belgrade, Serbia
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