精选的人工智能聊天机器人的可理解性和可读性,在提供与卵膜炎相关的信息时
Halil İbrahim Sönmezoğlu1, Büşra Güner Sönmezoğlu2, Mustafa Hüseyin Temel3
1Department of Ophthalmology, Hendek State Hospital, Sakarya, Turkey.
Medicine
|October 25, 2025
概括
这项研究将人工智能聊天机器人与乌维信息进行了比较. GPT-4提供了最易于阅读的答案,而Grok在可操作的建议方面表现出色,突出了AI.
科学领域:
- 眼科和人工智能的人工智能
- 医学信息学 医学信息学
- 卫生沟通 卫生沟通
背景情况:
- 尿道炎是一种复杂的眼睛疾病,需要明确的患者信息.
- 人工智能 (AI) 聊天机器人是健康信息传播的新兴工具.
- 评估AI聊天机器人在解释病情方面的表现对于患者的理解至关重要.
研究的目的:
- 为了比较人工智能聊天机器人的质量和可理解性,对有关脑膜炎的常见问题做出回应.
- 评估五个领先的人工智能聊天机器人:ChatGPT-4,Claude,Mistral,Grok和谷歌的PalM.
- 确定最有效的聊天机器人,为患者提供紫外线炎信息.
主要方法:
- 利用谷歌趋势识别关键的膜炎相关的搜索术语.
- 在每个AI聊天机器人中输入25个经常搜索的术语.
- 通过使用可打印材料的患者教育材料评估工具 (PEMAT-P),简单测量Gobbledygook (SMOG) 指数和自动可读性指数 (ARI) 评估聊天机器人的响应.
主要成果:
- GPT-4获得了最低的自动化可读性指数 (ARI) 和简单测量Gobbledygook (SMOG) 评分,显示出优越的可读性.
- 在可理解性方面,Mistral得分最低 (PEMAT-P),而在可操作性方面,Grok得分最高 (PEMAT-P).
- 大多数聊天机器人,除了Mistral,表现出高可理解性.
结论:
- 人工智能聊天机器人有望改善患者对膜炎等复杂疾病的理解.
- 根据ARI和SMOG得分,GPT-4是最易于阅读的聊天机器人,提供基于ARI和SMOG得分的膜炎信息.
- 需要进一步改进,以优化AI聊天机器人在医疗保健中的有效性和可访问性.
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