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Parenting Journal · Volume 1 · Issue 2 · Licensed source edition

Parents’ understanding and attitudes toward the application of AI in pediatric healthcare: a cross-sectional survey study

Yan-Dan Huang; Shu-Long Zeng; Jie Lin; Zhi-Peng Mao; Qi-Liang Zhang; Gao-Zhong Feng; Qiong-Xia Ou

Originally published 2025-08-20 · Frontiers in Public Health
Frontiers Media SA · DOI 10.3389/fpubh.2025.1654482 ↗

TrustCross-sectional caregiver surveyCC BY (version not stated)
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AI / system type

Mixed AI applications / LLM-informed survey

Direct parenting evidence

Directly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.

The AI connection

Caregivers considered pediatric AI applications including ChatGPT, DeepSeek and Kimi; this was an attitudes study, not deployment validation.

Why this reading matters

Provides real caregiver evidence about the gap between easy access and confidence in accuracy, with implications for accessible AI explanations.

Editorial reading guide · Trust

What do caregivers think AI can do, and who do they expect to remain accountable?

The survey shows that convenience can coexist with concern about accuracy and accountability. It supports discussion of what parents need to understand before trusting AI-mediated information.

Study context

185 responding family members at one hospital

Age / stage: Children receiving pediatric hospital care; ages vary

Read with three questions

  1. Which AI tools did respondents have in mind?
  2. How did understanding differ across education, age and residence groups?
  3. Why do perceived benefits not demonstrate actual diagnostic performance?

Keep the limits in view

The ad hoc questionnaire, single hospital and voluntary cross-sectional sample limit generalizability. Attitudes and perceived accuracy are not observations of safe AI use or clinical outcomes.

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Attribution & reuse

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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.

CC BY (version not stated) · License notice ↗Original repository record ↗

Yan-Dan Huang; Shu-Long Zeng; Jie Lin; Zhi-Peng Mao; Qi-Liang Zhang; Gao-Zhong Feng; Qiong-Xia Ou (2025). Parents’ understanding and attitudes toward the application of AI in pediatric healthcare: a cross-sectional survey study Frontiers in Public Health. https://doi.org/10.3389/fpubh.2025.1654482

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.