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Expert evaluation and readability of conversational AI responses to common ophthalmic patient questions: an exploratory generational cross-sectional study

2026-04-23

Abstract excerpt

<title>Abstract</title> <p>Purpose: To evaluate expert-rated informational quality and linguistic accessibility of responses generated by a contemporary large language model to common ophthalmic patient questions, and to explore generational evolution in conversational artificial intelligence (AI) performance. <h4>Methods:</h4> In this cross-sectional exploratory study, 12 frequently asked ophthalmology question...

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Literature Corpus work
f6145194-778f-5fcf-ac09-61c68c8421ad
DOI
10.21203/rs.3.rs-9242640/v1
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Expert evaluation and readability of conversational AI responses to common ophthalmic patient questions: an exploratory generational cross-sectional studyDOI 10.21203/rs.3.rs-9242640/v1
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