人工智能对慢性病患者经常提出的问题所产生的答案的可靠性
Emi Furukawa1, Tsuyoshi Okuhara1,2, Hiroko Okada1,2
1University Hospital Medical Information Network Center, The University of Tokyo Hospital, Tokyo, Japan.
Health informatics journal
|September 24, 2025
概括
人工智能工具为慢性病 (CKD) 患者提供了普遍可接受的信息. 然而,在像ChatGPT,Copilot和Gemini这样的工具中,准确性和资源提供有很大差异,需要仔细评估人工智能生成的健康内容.
科学领域:
- 医疗人工智能 医疗人工智能
- 医疗信息学 医疗信息学
- 患者教育 患者教育
背景情况:
- 慢性病患者越来越多地使用人工智能 (AI) 工具作为主要信息来源.
- 人工智能产生的健康信息的真实准确性和可靠性存在担忧.
- 评估人工智能反应的可靠性对于患者安全和知情决策至关重要.
研究的目的:
- 评估人工智能对有关慢性病 (CKD) 的常见问题所产生的答案的可靠性和准确性.
- 为了比较不同的AI工具 (ChatGPT,Copilot,Gemini) 在提供CKD信息方面的性能.
- 通过使用标准化工具评估AI提供的医疗信息的质量.
主要方法:
- 人工智能生成的对23个提示的响应,其中包括顶级CKD相关的关键词,从使用日语的ChatGPT,Copilot和Gemini中收集.
- 医疗人工智能质量分析 (QAMAI) 工具被用来评估207个人工智能生成的响应的可靠性.
- 进行了统计分析,以比较不同AI模型中的QAMAI得分和资源可用性.
主要成果:
- 人工智能工具通常提供可靠的信息,QAMAI的中位数为30分之23分.
- 在AI工具中观察到信息准确性和资源可用性的显著差异 (p < 0.01).
- 聊天GPT的准确性较低,没有提供资源,而Copilot和Gemini的准确性更高,资源提供更好.
结论:
- 关于慢性病 (CKD) 的AI产生的反应的整体质量是可以接受的.
- 虽然大多数人工智能提供的信息都是可靠的,但一些答案的准确性不一致和缺乏引用突出了需要改进的领域.
- 患者应该批判性地评估人工智能产生的健康信息,考虑潜在的不准确性和缺乏支持资源.
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