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Parenting Journal · Volume 3 · Issue 1 · Licensed source edition

Benchmarking large language models for congenital cataract parent counseling: safety, readability, and knowledge translation of developmental and genetic information

Originally published 2026-03-27 · Frontiers in Cell and Developmental Biology
Frontiers Media SA · DOI 10.3389/fcell.2026.1785731 ↗

TrustComparative expert-rated LLM benchmarkCC BY 4.0
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AI / system type

Generative AI / multi-model counseling benchmark

Family implications

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

The AI connection

Compares five LLMs on parent-oriented congenital cataract questions, including developmental and genetic information.

Why this reading matters

Combines safety and accessibility evaluation in a parent-counseling context where developmental and genetic explanations can be difficult to interpret.

Editorial reading guide · Trust

How should parents judge long, structured AI explanations of complex pediatric information?

The study separates output length, readability and expert-rated safety, showing why more information is not necessarily more trustworthy information.

Study context

Thirty standardized parent-facing questions across five conversational LLMs

Age / stage: Congenital cataract counseling; no child participants

Read with three questions

  1. What dimensions did blinded ophthalmologists rate?
  2. Did longer responses consistently receive higher quality scores?
  3. Which language, prompts and model versions bounded the comparison?

Keep the limits in view

This was a standardized, time-specific response benchmark, not evidence of better parental decisions or child outcomes. Expert ratings and one clinical domain cannot establish general model superiority.

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.

Ligang Jiang; Yihan Zhu; Chunyan Song; Xinya Hu; Xianming Fan; Weihua Yang; Yune Zhao (2026). Benchmarking large language models for congenital cataract parent counseling: safety, readability, and knowledge translation of developmental and genetic information Frontiers in Cell and Developmental Biology. https://doi.org/10.3389/fcell.2026.1785731

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.