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September 1, 2024Clinical ophthalmologyOpen Access

Comparing the Ability of Google and ChatGPT to Accurately Respond to Oculoplastics-Related Patient Questions and Generate Customized Oculoplastics Patient Education Materials

Samuel Cohen Nikhita Yadlapalli Jonathan D Tijerina Chrisfouad R. Alabiad Jessica R. Chang Benyam Kinde Nicholas R. Mahoney Kelsey A. Roelofs Julie A. Woodward Andrea L. Kossler

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Abstract

To compare the accuracy and readability of responses to oculoplastics patient questions provided by Google and ChatGPT. Additionally, to assess the ability of ChatGPT to create customized patient education materials.

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Cite This Study

Cohen et al. (2024) studied this question.

synapsesocial.com/papers/68e59d79b6db6435875376a4 https://doi.org/10.2147/opth.s480222

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Evaluating accuracy and reproducibility of ChatGPT responses to patient-based questions in Ophthalmology: An observational study2024 · 21 citations
2Evaluating ChatGPT's efficacy and readability to common pediatric ophthalmology and strabismus-related questions2024 · 14 citations
3Evaluating the Accuracy, Completeness, and Readability of Chatbot Responses to Refractive Surgery-Related Patient Questions: A Comparative Analysis of ChatGPT and Google Gemini2025 · 1 citations
4Analyzing the Role of AI in Resident Education: An Evaluation of ChatGPT on Ophthalmology Trainee Examination Questions by Subtopic2025
5Assessing ChatGPT’s Responses to Otolaryngology Patient Questions2024 · 16 citations

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