评估AI聊天机器人提供的与 Sarcoidosis 相关信息的可靠性和质量
Nur Aleyna Yetkin1, Burcu Baran1, Bilal Rabahoğlu1
1Department of Pulmonology, Faculty of Medicine, Erciyes University, 38039 Kayseri, Türkiye.
Healthcare (Basel, Switzerland)
|June 13, 2025
概括
人工智能聊天机器人提供健康信息,但可能会在复杂的疾病,如肉增生症等方面扎. 虽然一些模型提供了准确的答案,但它们的可读性和可操作性需要改进,以便有效的患者教育.
科学领域:
- 医疗保健中的人工智能
- 患者教育和沟通
背景情况:
- 人工智能聊天机器人越来越多地用于健康信息传播.
- 人工智能产生的健康内容的准确性和可靠性存在担忧,特别是对于诸如肉病等复杂疾病.
研究的目的:
- 为了评估人工智能生成的沙尔科毒症信息的可用性.
- 评估聊天机器人对患者查询的质量,可靠性,可读性,可理解性和可操作性.
主要方法:
- 对11个人工智能聊天机器人的横截面评估 (通用和提取增强).
- 每个聊天机器人提交了四个与 Sarcoidosis 相关的查询.
- 肺病专家使用DISCERN,PEMAT-P,Flesch-Kincaid指标和Web资源评分 (WRR) 评估了这些反应.
主要成果:
- 检索增强模型 (例如,ChatGPT-4o深度研究,困惑) 在质量和可靠性指标上表现优于一般聊天机器人.
- 高性能模型生成的文本的阅读水平明显更高 (弗莱什-金凯德等级水平>16),影响了可访问性.
- 在所有模型中,可操作性得分始终低于可理解性得分.
结论:
- 人工智能聊天机器人可以产生准确的沙尔科毒症信息,但可读性和可操作性对患者教育构成挑战.
- 需要包括快速改进和健康素养适应在内的优化策略,以提高AI聊天机器人在复杂疾病沟通中的实用性.
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