将人工智能辅助数据提取与人类双重提取在证据合成中的准确性进行比较:一个随机对照试验协议
Zhen Peng1,2, Shiqi Fan3, Yuan Tian3
1Key Laboratory of Population Health Across Life Cycle, Ministry of Education of the People's Republic of China, Anhui Medical University, Hefei, Anhui, China.
BMJ open
|November 6, 2025
概括
这项研究将人工智能-人类数据提取策略与传统的人类双提取相比较. 人工智能-人类方法旨在提高系统审查的效率和准确性.
科学领域:
- 医疗信息学 医疗信息学
- 系统审查方法论 系统审查方法论
背景情况:
- 传统的数据提取是耗时和劳动密集的.
- 人工智能 (AI) 为高效的数据提取提供了潜力.
- 人工智能还不是数据提取的独立解决方案.
研究的目的:
- 为了比较人工智能-人类数据提取策略与人类双重提取的效率和准确性.
- 在系统性审查中评估人工智能辅助数据提取的性能.
主要方法:
- 一个随机对照试验 (RCT) 的分配比为1:2 (AI组与非AI组).
- 人工智能集团使用人工智能提取,然后进行人类验证.
- 非AI组使用人双提取事件数和来自10个睡眠医学RCT的组大小数据.
主要成果:
- 主要结果是每个数据提取任务的正确提取的百分比.
- 将在人工智能-人类和人类双重提取组之间比较效率和准确度指标.
结论:
- 该研究将确定人工智能-人类混合方法是否比传统方法更有效和更准确.
- 调查结果将为系统审查中数据提取的最佳实践提供信息.
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