基于人工智能的聊天机器人的医疗建议在不同国家/地区的差异
Khanisyah E Gumilar1,2, Birama R Indraprasta3, Yu-Cheng Hsu4,5
1Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan. khanisyah@fk.unair.ac.id.
Scientific reports
|July 24, 2024
概括
人工智能聊天机器人医疗保健信息因地区和平台而异. 巴德总体上提供了优秀的回应,强调需要公平地获得可靠的AI医疗建议.
科学领域:
- 人工智能在医学中的应用
- 瘤学的决策支持
- 全球卫生信息学
背景情况:
- 获得医疗保健信息对于患者的治疗结果至关重要.
- 人工智能聊天机器人为传播医学知识提供了潜力.
- 人工智能产生的健康信息的地理和平台差异尚未得到充分理解.
研究的目的:
- 评估AI聊天机器人的性能,为子宫内膜癌提供辅助治疗建议.
- 在不同地区和平台上识别AI医疗保健信息质量的差异.
- 评估AI聊天机器人在提供公平的医疗指导方面的潜力.
主要方法:
- 在四个地区 (印度尼西亚,尼日利亚,台湾,美国) 对AI聊天机器人 (Bard,Bing,ChatGPT-3.5) 采用了相同的基于案例的问题.
- 采用十名子宫内膜癌专家的双盲评估,评估相关性,清晰度,深度,重点和连贯性.
- 分析了基于地理位置和人工智能平台的响应变化,使用统计方法.
主要成果:
- 在不同国家/地区观察到人工智能聊天机器人响应的显著差异 (p < 0.001).
- 尼日利亚的Bing聊天机器人在所有标准 (p < 0.001) 中都表现出卓越的性能 (p < 0.05).
- 在全球范围内,Bard聊天机器人表现始终优于ChatGPT-3.5和Bing (p < 0.001),尼日利亚 (p < 0.05) 有着显著的优势.
结论:
- 人工智能产生的医疗保健信息质量受用户位置和使用的AI平台的影响.
- 存在显著的差异,需要进一步的研究和开发,以便公平地获得可靠的AI医疗信息.
- 优化人工智能聊天机器人,在全球范围内提供一致,高质量的医疗咨询是必不可少的.
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