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August 18, 2025Translational Vision Science & TechnologyOpen Access

Enhancing the Readability of Online Pediatric Cataract Education Materials: A Comparative Study of Large Language Models

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Authors

XQXinyi QiuCLChufan LuoQZQi Zhang

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Overview

Comparative study shows large language models enhance readability of patient education materials, suggesting new tools for teaching.

Key Points

  • Large language models significantly enhance the readability of online patient education materials, achieving lower reading levels.
  • DeepSeek-R1 improved readability of PEMs from 10.59 to 7.01, with better results than traditional online searches.
  • Assessment used multiple readability formulas to evaluate original versus LLM-enhanced patient education materials.
  • Combining LLM capabilities with web browsing and prompt engineering may optimize educational outcomes for pediatric cataracts.

Cite This Study

Qiu et al. (2025) studied this question.

synapsesocial.com/papers/68af2edecf1dd9ea359e63fahttps://doi.org/10.1167/tvst.14.8.19
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