The Ability of Large Language Models to Generate Patient Information Materials for Retinopathy of Prematurity: Evaluation of Readability, Accuracy, and Comprehensiveness

The Ability of Large Language Models to Generate Patient Information Materials for Retinopathy of Prematurity: Evaluation of Readability, Accuracy, and Comprehensiveness

Objectives: This study compared the readability of patient education materials from the Turkish Ophthalmological Association (TOA) retinopathy of prematurity (ROP) guidelines with those generated by large language models (LLMs). The ability of GPT-4.0, GPT-4o mini, and Gemini to produce patient educ...

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Bibliographic Details
Main Authors: Sevinç Arzu Postacı, Ali Dal
Format: Article
Language:English
Published: Galenos Yayinevi 2024-12-01
Series:Türk Oftalmoloji Dergisi
Subjects:
retinopathy of prematurity
large language models
readability
patient education
Online Access:https://www.oftalmoloji.org/articles/the-ability-of-large-language-models-to-generate-patient-information-materials-for-retinopathy-of-prematurity-evaluation-of-readability-accuracy-and-comprehensiveness/doi/tjo.galenos.2024.58295
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https://www.oftalmoloji.org/articles/the-ability-of-large-language-models-to-generate-patient-information-materials-for-retinopathy-of-prematurity-evaluation-of-readability-accuracy-and-comprehensiveness/doi/tjo.galenos.2024.58295

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