Evidence map›Paper›PMID 41665301›Full record

ArticleTranslational vision science & technology2026

Utility of ChatGPT-4o in Creating Patient Handouts in Ophthalmology: A Comparison With American Academy of Ophthalmology Educational Materials.

Linda L Wu, Alexander T Hong, Shaili S Davuluru, Edgar Alejandro Moreno-Diaz, Juan Carlos Gutiérrez-Hernández, Juan Carlos Martinez-Camarillo, Benjamin Y Xu, Sandy Zhang-Nunes

Abstract readComparative Study
In one paragraph

Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Linda L WuDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
Alexander T HongDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
Shaili S DavuluruDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
Edgar Alejandro Moreno-DiazDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
Juan Carlos Gutiérrez-HernándezUniversity of Costa Rica, San José, Costa Rica.
Juan Carlos Martinez-CamarilloDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
Benjamin Y XuDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
Sandy Zhang-NunesDepartment of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.

Funding

Ophthalmic Therapeutics Engineering CoreP30EY029220 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mahnaz Shahidi · 2018 to 2026
$6.5M
Clinical Evaluation and Risk Stratification of Angle Closure Disease Using Quantitative OCTR01EY035677 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Benjamin Y. Xu · 2024 to 2026
$1.4M
NEI NIH HHS P30 EY029220NEI NIH HHS R01 EY035677
6 · The paper itself

Abstract

Purpose: This study compares the readability and quality of ChatGPT-4o-generated and American Academy of Ophthalmology (AAO) patient handouts in English and Spanish, as AAO materials are expert developed but not publicly accessible. Methods: Ten AAO handouts on common ocular conditions were obtained in English and Spanish. ChatGPT-4o was queried to create handouts at an 8th-grade reading level of comparable length. English readability was assessed with Simple Measure of Gobbledygook (SMOG) and Flesch-Kincaid Reading Ease, and Spanish readability was assessed with five validated metrics, including the Szigriszt-Pazos Perspicuity Index (SPPI) and the Flesch-Szigriszt Index (INFLESZ). Grade levels were measured by the Flesch-Kincaid Grade Level and Crawford-Nivel-de-Grado. Three ophthalmologist graders per language assessed content with the Quality of Generated Language Outputs for Patients (QGLOP), indicated their preferred handout, and attempted to identify its source. Results: ChatGPT-4o handouts had English readability similar to that of AAO (SMOG 7.86 ± 0.53 vs. 7.49 ± 0.76; P = 0.35) but significantly lower Spanish SPPI scores (60.26 ± 4.47 vs. 64.82 ± 2.97; P = 0.04). Grade levels were comparable. English QGLOP scores were similar (14.73 vs. 14.87; P = 0.97), but Spanish ChatGPT handouts scored higher in all categories (15.83 vs. 14.23; P < 0.001). ChatGPT-4o handouts were correctly identified by 17 of 30 in English (56.7%) and by 3 of 30 in Spanish (10.0%). They were favored 23 out of 30 times in English (76.7%) and 29 out of 30 times in Spanish (96.7%). Conclusions: ChatGPT-generated materials matched or exceeded AAO handouts in readability and content quality, with Spanish versions being most preferred. Translational Relevance: Integrating artificial intelligence-generated patient education materials into ophthalmic care can enhance health literacy for multilingual patient populations.

Indexed as

ComprehensionOphthalmologyPatient Education as TopicTeaching MaterialsAcademies and InstitutesGenerative Artificial IntelligenceHumansLarge Language ModelsUnited States

Identifiers

PMID41665301
PMCPMC12898934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.