Assessment of the Responses of the Artificial Intelligence-based Chatbot ChatGPT-4 to Frequently Asked Questions About Amblyopia and Childhood Myopia.

IF 1 4区 医学 Q4 OPHTHALMOLOGY Journal of Pediatric Ophthalmology & Strabismus Pub Date : 2024-03-01 Epub Date: 2023-10-26 DOI:10.3928/01913913-20231005-02
Mojgan Nikdel, Hadi Ghadimi, Mehdi Tavakoli, Donny W Suh
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Abstract

Purpose: To assess the responses of the ChatGPT-4, the forerunner artificial intelligence-based chatbot, to frequently asked questions regarding two common pediatric ophthalmologic disorders, amblyopia and childhood myopia.

Methods: Twenty-seven questions about amblyopia and 28 questions about childhood myopia were asked of the ChatGPT twice (totally 110 questions). The responses were evaluated by two pediatric ophthalmologists as acceptable, incomplete, or unacceptable.

Results: There was remarkable agreement (96.4%) between the two pediatric ophthalmologists on their assessment of the responses. Acceptable responses were provided by the ChatGPT to 93 of 110 (84.6%) questions in total (44 of 54 [81.5%] for amblyopia and 49 of 56 [87.5%] questions for childhood myopia). Seven of 54 (12.9%) responses to questions on amblyopia were graded as incomplete compared to 4 of 56 (7.1%) of questions on childhood myopia. The ChatGPT gave inappropriate responses to three questions about amblyopia (5.6%) and childhood myopia (5.4%). The most noticeable inappropriate responses were related to the definition of reverse amblyopia and the threshold of refractive error for prescription of spectacles to children with myopia.

Conclusions: The ChatGPT has the potential to serve as an adjunct informational tool for pediatric ophthalmology patients and their caregivers by demonstrating a relatively good performance in answering 84.6% of the most frequently asked questions about amblyopia and childhood myopia. [J Pediatr Ophthalmol Strabismus. 2024;61(2):86-89.].

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基于人工智能的聊天机器人ChatGPT-4对关于弱视和儿童近视的常见问题的反应评估。
目的:评估基于人工智能的聊天机器人ChatGPT-4对两种常见儿童眼科疾病(弱视和儿童近视)常见问题的反应。方法:用查特GPT两次(共110个问题)对27个关于弱视的问题和28个关于儿童近视的问题进行调查。两名儿科眼科医生对反应进行了可接受、不完整或不可接受的评估。结果:两位儿童眼科医生对反应的评估结果有显著的一致性(96.4%)。ChatGPT对总共110个问题中的93个(84.6%)提供了可接受的回答(54个问题中有44个[81.5%]针对弱视,56个问题中49个[87.5%]针对儿童近视)。54个弱视问题的回答中有7个(12.9%)被评为不完整,而56个儿童近视问题中有4个(7.1%)被评定为不完整。ChatGPT对关于弱视(5.6%)和儿童近视(5.4%)的三个问题给出了不恰当的回答。最明显的不恰当回答与反向弱视的定义和近视儿童眼镜处方的屈光误差阈值有关。结论:ChatGPT有潜力作为儿科眼科患者及其护理人员的辅助信息工具,因为它在回答84.6%的关于弱视和儿童近视的最常见问题方面表现出相对良好的表现。[儿科眼科斜视杂志.20XX;X(X):XXX-XXX.]。
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来源期刊
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.
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