Exploring the Accuracy and Readability of ChatGPT in Providing Information to Patients With Keratoconus.

IF 1 4区医学 Q4 OPHTHALMOLOGY

Journal of Pediatric Ophthalmology & Strabismus Pub Date : 2024-09-01 DOI:10.3928/01913913-20240718-01

Elishai Assayag, David Zadok, Liron Berkovitz, Yishay Weill

引用次数: 0

Abstract

Patients with keratoconus may lack sufficient understanding of their illness. The authors assessed the accuracy and readability of ChatGPT (OpenAI) responses to common questions regarding keratoconus and found that the provided data are precise, with minor inaccuracies. The complexity of responses requires a high reading level, which may be unsuitable for many patients. [J Pediatr Ophthalmol Strabismus. 2024;61(5):e43-e46.].

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探索 ChatGPT 为角膜病患者提供信息的准确性和可读性。

角膜病患者可能对自己的疾病缺乏足够的了解。作者评估了 ChatGPT（OpenAI）对有关角膜病的常见问题所做回答的准确性和可读性，发现所提供的数据是准确的，但也有轻微误差。回答的复杂性要求较高的阅读水平，这可能不适合许多患者。[2024;61(5):e43-e46.].

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Pediatric Ophthalmology & Strabismus 医学-小儿科

CiteScore

1.80

自引率

8.30%

发文量

115

审稿时长

>12 weeks

期刊介绍： The Journal of Pediatric Ophthalmology & Strabismus is a bimonthly peer-reviewed publication for pediatric ophthalmologists. The Journal has published original articles on the diagnosis, treatment, and prevention of eye disorders in the pediatric age group and the treatment of strabismus in all age groups for over 50 years.