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Large Language Models as Ophthalmic Patient Educators: A Comparative Evaluation of Readability, Understandability, and Actionability

2026-03-20

Abstract excerpt

<title>Abstract</title> <p>Purpose To compare readability, understandability, and actionability of ophthalmic patient education responses generated by 3 publicly accessible artificial intelligence (AI) platforms: ChatGPT, Perplexity, and Gemini. Methods In this cross-sectional study, high-interest ophthalmology queries were identified using Google Trends to approximate patient information-seeking behavior. Each...

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Literature Corpus work
045cca3e-78d3-5d04-96c0-403fee1ea37b
DOI
10.21203/rs.3.rs-8981384/v1
Open publication

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