聊天机器人健康咨询研究报告准则:图表陈述
, Bright Huo1, Gary S Collins2,3
1Division of General Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
JAMA network open
|August 1, 2025
概括
聊天机器人健康咨询 (CHA) 研究的报告标准不一致. 新的CHART检查清单提供了关于生成人工智能聊天机器人在总结临床证据和提供健康建议方面的性能透明报告的建议.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床研究方法论 临床研究方法论
背景情况:
- 聊天机器人健康咨询 (CHA) 研究在报告标准中表现出显著的异质性,阻碍了解释性和可重复性.
- 越来越多地使用生成性人工智能 (AI) 聊天机器人来获取健康信息,需要标准化报告准则.
研究的目的:
- 在临床证据总结和健康咨询提供中评估生成性AI聊天机器人的研究中制定全面的报告建议.
- 引入CHART检查清单,以提高CHA研究的透明度和一致性.
主要方法:
- 一项系统性审查发现了CHA研究进行和报告的变化.
- 通过涉及531名国际利益相关者的多阶段德尔菲共识过程,制定和完善了一份检查清单草案.
- 检查清单经过试点测试,以测试可用性和有效性.
主要成果:
- 该CHART检查清单包括12个项目和39个子项目,旨在对CHA研究进行透明和全面的报告.
- 报告的主要领域包括研究设计,AI模型细节,提示工程,查询策略,绩效评估和道德考虑.
- 详细的报告元素包括标题,摘要,背景,模型标识符,提示工程,查询策略,性能评估,样本大小,数据分析,结果,讨论,披露,资金,道德,协议和数据可用性.
结论:
- 该CHART检查清单和附带的图表旨在改善CHA研究的报告,理解和解释.
- 它是临床医生,研究人员,编辑,同行评审和读者的重要工具.
- 采用CHART将促进人工智能驱动的健康咨询研究的更大清晰度和可靠性.
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