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Parenting Journal · Volume 2 · Issue 5 · Licensed source edition

Performance of ChatGPT-4o in Providing Information on Pediatric Inborn Errors of Immunity: A Cross-Sectional Evaluation

Originally published 2026-05-22 · Journal of Clinical Medicine
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/jcm15114025 ↗

TrustSingle-model pediatric rare-disease information auditCC BY 4.0
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AI / system type

Generative AI/LLM rare-disease information benchmark

Family implications

Design, ethics, stakeholder or technical evidence with child/family implications; household benefits are not assumed.

The AI connection

ChatGPT-4o generated professional and caregiver explanations of pediatric immune disorders.

Why this reading matters

Illustrates why families should inspect uncertainty, reading burden, and exceptional errors alongside average performance.

Editorial reading guide · Trust

How should I weigh a mostly good AI explanation when our child has a rare condition?

Overall quality scores were favorable, yet answers required advanced reading skills, lacked disclaimers throughout, and sometimes raised factual or safety concerns. Consistent wording and good average scores therefore did not establish dependable individual advice.

Study context

Three pediatric allergy-immunology specialists rated ChatGPT-4o answers to twenty common questions, half written from a patient/caregiver perspective, with repeated generations.

Age / stage: Pediatric inborn errors of immunity; no family participants

Read with three questions

  1. Which safety concerns remained behind high overall quality ratings?
  2. How did caregiver-oriented questions change comprehensibility?
  3. Why is semantic reproducibility different from verified clinical correctness?

Keep the limits in view

This was one model at one time point, twenty questions, and no actual caregivers. The supplementary safety check did not verify every statement against external standards, and the rating tools were developed for static human-authored materials.

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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Attribution & reuse

Follow the original.

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.

İlke Taşkırdı; Ece Şenbaykal Yiğit; Sanem Eren Akarcan; Tuba Tuncel (2026). Performance of ChatGPT-4o in Providing Information on Pediatric Inborn Errors of Immunity: A Cross-Sectional Evaluation Journal of Clinical Medicine. https://doi.org/10.3390/jcm15114025

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.