评估通过ChatGPT,Gemini和Perplexity生成的关于结性脊柱炎最常见的问题答案的可读性,质量和可靠性
Mete Kara1, Erkan Ozduran2, Müge Mercan Kara3
1Izmir City Hospital, Internal Medicine, Rheumatology, Izmir, Turkey.
PloS one
|June 18, 2025
概括
人工智能聊天机器人提供有关结脊髓炎 (AS) 的信息,这些信息往往太复杂,以至于一般人无法理解. 虽然Perplexity显示出更高的可靠性,但对人工智能生成的AS内容的整体质量和可读性仍然存在担忧.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 类风湿病学 类风湿病学
背景情况:
- 化脊柱炎 (AS) 是一种慢性炎症性关节疾病,影响年轻成年人,引起疼痛和降低生活质量.
- 人工智能聊天机器人越来越多地用于访问健康信息,需要对其输出进行评估.
- 这项研究重点关注AI产生的关于AS的信息的可访问性和准确性.
研究的目的:
- 为了比较AI聊天机器人 (ChatGPT,Perplexity,Gemini) 响应的可读性,准确性和质量,与有关结性脊髓炎 (AS) 的用户查询进行比较.
- 评估人工智能生成的AS信息是否适合患者的理解和可靠性.
主要方法:
- 利用谷歌趋势来确定用于查询生成的前25个与AS相关的关键词.
- 将这些关键词指向了ChatGPT,Perplexity和Gemini聊天机器人.
- 使用GFOG,FRES和SMOG指数评估了响应可读性.
- 通过EQIP,GQS,修改后的DISCERN和JAMA等级来评估信息质量和可靠性.
主要成果:
- 人工智能聊天机器人对AS的响应超过了6年级的阅读水平,在可读性方面存在统计学上显著的差异 (p < 0.001).
- 困惑表明信息质量和可靠性优越,在EQIP,JAMA,mDISCERN和GQS评估中得分更高 (p <0.05).
- 总的来说,对于AS的AI聊天机器人响应引发了担忧,因为在质量和可靠性评估中的一些得分很低.
结论:
- 人工智能生成的关于结性脊柱炎的信息往往超过了推的可读性水平.
- 与ChatGPT和Gemini相比,Perplexity成为AS信息的更可靠的聊天机器人.
- 通过集成的审计机制,可以提高AI聊天机器人的质量,可靠性和可读性.
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