Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Authors

Angelo P. Tanna (ORCID: https://orcid.org/0000-0003-3089-6664)
Rukhsana G. Mirza (ORCID: https://orcid.org/0000-0003-1351-5874)
Avrey Thau
Nikoo Hamzeh
Alcina K. Lidder
Emmanuel Angelo Sarmiento
Robert S. Feder

Institutions

Northwestern University (US)

Publication Details

Journal: Ophthalmology Science
Published: 2025-11-13
DOI: https://doi.org/10.1016/j.xops.2025.101007
Primary Topic: Health Literacy and Information Accessibility
Type: article
Field-Weighted Citation Impact: 0.00

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article

Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions

Angelo P. Tanna, Rukhsana G. Mirza, Avrey Thau, Nikoo Hamzeh et al.

Nov 13, 2025

Ophthalmology Science

Health Literacy and Information Accessibility

article

Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions

Angelo P. Tanna, Rukhsana G. Mirza, Avrey Thau, Nikoo Hamzeh, Alcina K. Lidder, Emmanuel Angelo Sarmiento, Robert S. Feder

November 13, 2025article en

Abstract

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Ophthalmology ScienceVol. 6(2)

Northwestern University (US)

Openalex Percentile: Top 49%

Health Literacy and Information Accessibility

DOI Open Access PDF OpenAlex

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Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions — Angelo P. Tanna, Rukhsana G. Mirza, et al. · Ophthalmology Science (2025) | TGRS Research Map | TGRS