ArticleDigital health
Evaluation of the quality and readability of ChatGPT responses to frequently asked questions about myopia in traditional Chinese language.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluating Large Language Models in Ophthalmology: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Leveraging ChatGPT to strengthen pediatric healthcare systems: a systematic review.European journal of pediatrics · 2025Pooled it
- Rethinking Pediatric Asthma Education Through Large Language Model Generation and Simplification: Randomized Double-Blind Study.Journal of medical Internet research · 2026Trial
- Generative artificial intelligence to augment ethical problem solving in ophthalmology: GPT-5.1 versus a human ethicist.International ophthalmology · 2026Article
- Optimization of University Counseling Consent Forms With Large Language Models: Multidimensional Comparative Evaluation.Journal of medical Internet research · 2026Article
- Enhancing trustworthiness of Arabic online health information quality evaluation using an enhanced BERT architecture with PCA and ICA feature weighting.Scientific reports · 2026Article
- Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions.Ophthalmology science · 2026Article
- Large Language Model-Generated Patient Education Materials in Pediatric Ophthalmology: A Scoping Review.Clinical ophthalmology (Auckland, N.Z.) · 2026Review
- Advances in the application of artificial intelligence in ophthalmic education and clinical training.Frontiers in medicine · 2025Review
- Enhancing ophthalmology students' awareness of retinitis pigmentosa: assessing the efficacy of ChatGPT in AI-assisted teaching of rare diseases-a quasi-experimental study.Frontiers in medicine · 2025Article
- Large language models in the management of chronic ocular diseases: a scoping review.Frontiers in cell and developmental biology · 2025Review
- Assessing GPT-4o and GPT-4 in answering and explaining ophthalmology examination questions from Taiwan's medical licensing test.Taiwan journal of ophthalmologyArticle
- Exploring evaluation measures of large language models for family caregiver use: A scoping review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: ChatGPT can serve as an adjunct informational tool for ophthalmologists and their patients. However, the reliability and readability of its responses to myopia-related queries in the Chinese language remain underexplored. Purpose: This study aimed to evaluate the ability of ChatGPT to address frequently asked questions (FAQs) about myopia by parents and caregivers. Method: Myopia-related FAQs were input three times into fresh ChatGPT sessions, and the responses were evaluated by 10 ophthalmologists using a Likert scale for appropriateness, usability, and clarity. The Chinese Readability Index Explorer (CRIE) was used to evaluate the readability of each response. Inter-rater reliability among the reviewers was examined using Cohen's kappa coefficient, and Spearman's rank correlation analysis and one-way analysis of variance were used to investigate the relationship between CRIE scores and each criterion. Results: Forty-five percent of the responses of ChatGPT in Chinese language were appropriate and usable and only 35% met all the set criteria. The CRIE scores for 20 ChatGPT responses ranged from 7.29 to 12.09, indicating that the readability level was equivalent to a middle-to-high school level. Responses about the treatment efficacy and side effects were deficient for all three criteria. Conclusions: The performance of ChatGPT in addressing pediatric myopia-related questions is currently suboptimal. As parents increasingly utilize digital resources to obtain health information, it has become crucial for eye care professionals to familiarize themselves with artificial intelligence-driven information on pediatric myopia.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.