Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness.

Journal: Journal of pediatric ophthalmology and strabismus

PMID: 39465590

Abstract

PURPOSE: To assess the appropriateness and readability of responses provided by four large language models (LLMs) (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to parents' queries pertaining to retinopathy of prematurity (ROP).

Authors

Serhat Ermis
Ece Özal
Murat Karapapak
Ebrar Kumantaş
Sadık Altan Özal

Keywords

Comprehension Female Generative Artificial Intelligence Humans Infant, Newborn Language Large Language Models Male Parents Reading Retinopathy of Prematurity Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (39465590)

Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness.

Abstract

Authors

Keywords

External Resources

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