Parenting Journal · Volume 2 · Issue 5 · Licensed source edition
Parental and carer views on the use of AI in imaging for children: a national survey
Originally published 2025-08-09 · Insights into Imaging
Springer · DOI 10.1186/s13244-025-02021-6 ↗
AI / system type
Narrow diagnostic imaging AI scenarios
Direct parenting evidenceDirectly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.
The AI connection
The survey concerns AI interpretation of pediatric bone and other medical scans.
Why this reading matters
Makes permission, accuracy disclosure, and institutional accountability concrete questions for families encountering clinical AI.
Editorial reading guide · Trust
What should a clinician explain before AI helps interpret my child’s scan?
Many respondents expected AI to interpret scans accurately but wanted human checking, information about accuracy, and permission before use. The survey separates confidence in a machine from willingness to surrender clinical oversight.
Study context
One hundred forty-six UK parents, relatives, guardians, and carers completed an online survey; only 58 identified specifically as parents and roles could overlap.
Age / stage: Children and young people receiving imaging; adults aged 21–80 responded
Read with three questions
- Why did confidence in accuracy coexist with preference for human supervision?
- How did adults’ priorities differ from the previously studied young-person comparator?
- Whose views might an English-language online survey miss?
Keep the limits in view
Open online recruitment produced a small, highly educated sample. Responses concerned expectations and hypothetical uses, and do not measure diagnostic accuracy, consent behavior, or all UK families’ preferences.
The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Girija Agarwal; Raimat Korede Salami; Lauren Lee; Helena Martin; Lahvanya Shantharam; Kate Thomas; Emily Ashworth; Emma Allan; Ka-Wai Yung; Cato Pauling; Deidre Leyden; Owen J. Arthurs; Susan Cheng Shelmerdine (2025). Parental and carer views on the use of AI in imaging for children: a national survey Insights into Imaging. https://doi.org/10.1186/s13244-025-02021-6
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.