人工智能聊天机器人作为性病信息来源:关于可靠性和可读性的研究
Hüseyin Alperen Yıldız1, Emrullah Söğütdelen2
1Faculty of Medicine, Bolu Abant İzzet Baysal University, 14030, Bolu, Türkiye. h.alperenyildiz@gmail.com.
Journal of medical systems
|April 3, 2025
概括
人工智能聊天机器人提供性病信息,但可靠性各不相同. 困惑和副驾驶员更可靠,但所有聊天机器人都提供了太复杂的信息,无法让患者轻松理解.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 公共卫生传播 公共卫生传播
背景情况:
- 人工智能聊天机器人越来越多地用于医疗查询,包括性传播疾病 (STD) 等敏感话题.
- 人工智能产生的健康信息的可靠性和可读性存在担忧.
- 评估人工智能聊天机器人对性传播疾病信息的性能对于患者安全和教育至关重要.
研究的目的:
- 评估人工智能聊天机器人提供的有关性病信息的可靠性.
- 确定人工智能聊天机器人生成的性病信息是否符合患者教育推的可读性标准.
- 在信息准确性和可访问性方面比较不同AI聊天机器人的性能.
主要方法:
- 11个与性传播疾病相关的查询被输入到四个人工智能聊天机器人 (ChatGPT,Gemini,Perplexity,Copilot).
- 使用DISCERN,EQIP,JAMA和GQS进行了可靠性评估.
- 可读性测量使用弗莱什-金凯德等级水平和枪击雾指数等.
- 对聊天机器人的性能进行了统计比较.
主要成果:
- 与ChatGPT和Gemini相比,Perplexity和Copilot的可靠性得分 (DISCERN,EQIP) 更高.
- 没有AI聊天机器人达到推的6年级可读性标准.
- 所有的聊天机器人都提供了对公众来说过于复杂的信息,特别是那些健康素养较低的人.
结论:
- 虽然Perplexity和Copilot提供了更可靠的性传播疾病信息,但当前的AI聊天机器人未能达到基本的可读性基准.
- 人工智能产生的健康内容需要改进,以提高准确性和可访问性.
- 确保人工智能健康信息易于理解对于有效的公共卫生沟通至关重要.
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