聊天GPT和双子座为患者教育:对常见的儿科外血病状况进行比较分析
Amrutha Reshi1, Nikhil Arora2,3, Tanupriya Singh4
1Psychiatry, Bhagawan Sri Balagangadharanatha Swamiji (BGS) Global Institute of Medical Sciences, Bengaluru, IND.
Cureus
|May 22, 2025
概括
对于儿科发烧和皮疹的情况,ChatGPT比双子座产生更多的内容,但可读性和可靠性是相似的. 需要进一步的研究来增强人工智能产生的健康信息.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 儿科健康 儿科健康
背景情况:
- 常见的儿科疾病,如水,手足口病 (HFMD) 和麻疹,通常伴有发烧和皮疹.
- 像ChatGPT和Gemini这样的大型语言模型 (LLM) 为父母提供了了解儿童疾病的潜力.
- 鉴于人工智能日益普及,评估人工智能产生的健康信息的质量和准确性至关重要.
研究的目的:
- 评估和比较由ChatGPT和Gemini生成的患者教育材料的质量和准确性,用于常见的儿科脱血病.
- 评估人工智能生成的内容的可读性,抄袭性和可靠性,用于包括小,HFMD和麻疹在内的疾病.
主要方法:
- 一项横截面研究利用ChatGPT和Gemini创建了针对水,HFMD和麻疹的患者教育小册子.
- 使用Flesch-Kincaid计算器,QuillBot抄袭工具和修改后的DISCERN评分来评估内容.
- 统计分析,包括未配对的t测试,使用R进行,p值<0.05被认为是显著的.
主要成果:
- 与双子座相比,ChatGPT的单词数量显著增加 (p=0.047).
- 两种LLM之间没有在句子长度,每个句子的平均单词,每个单词的平均音节,易理解得分或成绩水平方面发现统计学上显著的差异.
- 双子座的平均可靠性得分为3/5和ChatGPT的2.67/5,没有显著差异 (p=0.725).
结论:
- 聊天GPT产生比双子座更广泛的内容,用于儿科发烧与皮疹状况,这是一个统计学上显著的发现.
- 可读性和可靠性得分表明,对于这些常见的儿科脱血症,ChatGPT和Gemini之间没有显著差异.
- 未来的努力应该集中在通过实时验证,专家审查和患者反机制来增强AI健康内容.
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