Parenting Journal · Volume 1 · Issue 2 · Licensed source edition
Evaluating large language models in pediatric fever management: a two-layer study
Originally published 2025-09-03 · Frontiers in Digital Health
Frontiers Media SA · DOI 10.3389/fdgth.2025.1610671 ↗
AI / system type
Generative AI / expert-and-caregiver response evaluation
Direct parenting evidenceDirectly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.
The AI connection
Compares generative LLM responses to fever questions through expert review and pediatric-relative ratings.
Why this reading matters
Includes actual family evaluators and exposes an important gap between specialist assessment and consumer impressions.
Editorial reading guide · Trust
Do parents and clinicians judge the same AI health answer in the same way?
The study directly contrasts expert and family evaluations of AI answers, showing why perceived adequacy may differ with medical knowledge.
Study context
Thirty questions, four LLMs, 20 physician evaluators and grouped pediatric relatives
Age / stage: Pediatric fever scenarios; no child intervention
Read with three questions
- How did physician and relative evaluations differ?
- Which potentially unsafe responses were removed before relatives saw them?
- How does that filtering limit conclusions about unfiltered real-world chatbot use?
Keep the limits in view
The family evaluation excluded responses researchers considered unsafe or misleading. The selected prompts, model versions and ratings do not establish clinical benefit or safe unsupervised use.
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.
Guijun Yang; Hejun Jiang; Shuhua Yuan; Mingyu Tang; Jing Zhang; Jilei Lin; Jiande Chen; Jiajun Yuan; Liebin Zhao; Yong Yin (2025). Evaluating large language models in pediatric fever management: a two-layer study Frontiers in Digital Health. https://doi.org/10.3389/fdgth.2025.1610671
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.