对ChatGPT对肺癌反应的可读性分析
1Department of Thoracic Surgery, Faculty of Medicine, Afyonkarahisar Health Sciences University, Zafer Sağlık Külliyesi, Dörtyol Mah. 2078 Sok. No:3 A Blok Afyonkarahisar, Afyonkarahisar, Turkey. dr.ademgencer@gmail.com.
Scientific reports
|July 26, 2024
概括
聊天GPT生成的肺癌反应难以读取,得分在大学水平或以上. 未来的人工智能可能会提高寻求肺癌信息的不同受众的可读性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 瘤学通讯 瘤学通讯
背景情况:
- 患者越来越多地使用在线资源,包括像ChatGPT这样的AI工具,以获得医疗信息.
- 肺癌信息的可访问性对于患者的理解和参与至关重要.
研究的目的:
- 评估关于肺癌的ChatGPT生成反应的可读性.
- 用既定的可读性尺度评估人工智能生成的医疗内容.
主要方法:
- 从Medscape®中选择了80个常见的肺癌问题 (定义,病因,危险因素,诊断,治疗,预后).
- 通过OpenAI API对每个问题进行了10次查询ChatGPT.
- 通过使用多种可读性公式 (Flesch阅读易度,Flesch-Kincaid等级等等) 分析了回应. ) 的情况.
主要成果:
- 平均可读性得分表明大学水平或更高,表明难以理解.
- 分析了Flesch阅读易度,Flesch-Kincaid等级水平,枪击FOG,SMOG,ARI,科尔曼-利乌,林赛尔写作,Dale-Chall和Spache的分数. 这些分数包括:
- 产生的内容通常被认为对普通受众来说具有挑战性.
结论:
- 目前关于肺癌的ChatGPT反应存在重大可读性挑战.
- 人工智能生成的医疗信息需要优化,以获得更广泛的患者理解.
- 未来的人工智能开发应该专注于将内容定制为各种教育和年龄人口统计数据.
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