Can ChatGPT provide quality information about fever in children?

IF 1.6 4区 医学 Q2 PEDIATRICS
Emine Ozdemir Kacer, Funda Ipekten
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引用次数: 0

Abstract

Background: Artificial intelligence (AI) systems hold great promise in improving medical care and health problems.

Aim: We aimed to evaluate the answers by asking the most frequently asked questions to ChatGPT for the prediction and treatment of fever, which is a major problem in children.

Methods: The 50 questions most frequently asked about fever in children were determined, and we asked them to ChatGPT. We evaluated the responses using the quality and readability scales.

Results: While ChatGPT demonstrated good quality in its responses, the readability scale and the Patient Education Material Evaluation Tool (PEMAT) scale used with materials appearing on the site were also found to be successful. Among the scales in which we evaluated ChatGPT responses, a weak positive relationship was found between Gunning Fog (GFOG) and Simple Measure of Gobbledygook (SMOG) scores (r = 0.379) and a significant and positive relationship was found between FGL and SMOG scores (r = 0.899).

Conclusion: This study sheds light on the quality and readability of information regarding the presentation of AI tools, such as ChatGPT, regarding fever, a common complaint in children. We determined that the answers to the most frequently asked questions about fire were high-quality, reliable, easy to read and understandable.

ChatGPT 能否提供有关儿童发烧的高质量信息?
背景:人工智能(AI)系统在改善医疗和健康问题方面大有可为:人工智能(AI)系统在改善医疗和健康问题方面大有可为。目的:我们的目的是通过向 ChatGPT 提出最常见的问题来评估答案,以预测和治疗儿童发烧这一主要问题:方法:我们确定了有关儿童发烧最常见的 50 个问题,并将其发送至 ChatGPT。我们使用质量和可读性量表对回答进行了评估:结果:虽然 ChatGPT 的回复质量很高,但我们发现网站上的材料所使用的可读性量表和患者教育材料评估工具 (PEMAT) 量表也很成功。在我们评估 ChatGPT 回复的量表中,发现 Gunning Fog (GFOG) 和 Simple Measure of Gobbledygook (SMOG) 分数之间存在微弱的正相关关系(r = 0.379),而 FGL 和 SMOG 分数之间存在显著的正相关关系(r = 0.899):本研究揭示了人工智能工具(如 ChatGPT)有关儿童常见发烧症状的信息质量和可读性。我们认为,关于发烧的最常见问题的答案是高质量、可靠、易读和易懂的。
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来源期刊
CiteScore
2.90
自引率
5.90%
发文量
487
审稿时长
3-6 weeks
期刊介绍: The Journal of Paediatrics and Child Health publishes original research articles of scientific excellence in paediatrics and child health. Research Articles, Case Reports and Letters to the Editor are published, together with invited Reviews, Annotations, Editorial Comments and manuscripts of educational interest.
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