Comparing large language models and search engine responses to common orthodontic questions

In this cross-sectional study, the LLMs, particularly GPT-4o, outperformed search engines. These results indicate the potential of LLMs as supplementary tools for orthodontic patient education and self-management.

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Publication Details

Journal
PLoS ONE
Published
2026-01-02
DOI
https://doi.org/10.1371/journal.pone.0339908
Primary Topic
Health Literacy and Information Accessibility
Type
article
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article

Comparing large language models and search engine responses to common orthodontic questions

Jing Sun, Yuanyuan Ren
PLoS ONE
Health Literacy and Information Accessibility
article

Comparing large language models and search engine responses to common orthodontic questions

Jing Sun, Yuanyuan Ren
article en

Abstract

In this cross-sectional study, the LLMs, particularly GPT-4o, outperformed search engines. These results indicate the potential of LLMs as supplementary tools for orthodontic patient education and self-management.

PLoS ONEVol. 21(1)
Peking University (CN)
Quality Education
Openalex Percentile: Top 99%
Health Literacy and Information Accessibility
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Comparing large language models and search engine responses to common orthodontic questions — Jing Sun, Yuanyuan Ren · PLoS ONE (2026) | TGRS Research Map | TGRS