人工智能能能在对健康经济文章的系统审查中分离小麦和杂草吗?
M J Oude Wolcherink1, X G L V Pouwels1, S H B van Dijk1
1Department of Health Technology and Services Research, Technical Medical Centre, Faculty of Behavioral, Management and Social Sciences, University of Twente, Enschede, The Netherlands.
Expert review of pharmacoeconomics & outcomes research
|August 13, 2023
概括
像ASReview这样的人工智能 (AI) 工具可以显著减少卫生经济系统性审查中的查时间. 这项研究发现ASReview在数据提取文章中实现了100%的准确性,节省了大量的时间.
科学领域:
- 卫生经济学 卫生经济学
- 人工智能的人工智能
- 系统审查是系统的审查.
背景情况:
- 系统的文献评论需要广泛的标题和摘要选.
- 人工智能 (AI) 工具为简化这一过程提供了潜在的解决方案.
- ASReview 是一个由人工智能驱动的工具,旨在帮助提高选效率.
研究的目的:
- 评估ASReview在健康经济学中的标题和摘要选的准确性和效率.
- 将ASReview的性能与手动选方法进行比较.
- 在健康经济背景下使用ASReview评估潜在的时间节省.
主要方法:
- 使用了来自先前系统审查的4,994篇文章的数据集.
- 将ASReview的准确性和效率与手动选结果进行了比较 (134个用于全文,50个用于数据提取).
- 预先定义的停止规则和1000次模拟被用于测试强度.
主要成果:
- ASReview 在识别数据提取文章方面实现了100%的准确性.
- 选样本的7.7%确定了所有相关的数据提取文章.
- 潜在的时间节省范围为49至59小时,具体取决于使用的停止规则.
结论:
- ASReview有效地识别了所有数据提取文章的最小选 (样本的7.7%).
- 人工智能工具在卫生经济系统性审查中显示出减少查时间的巨大潜力.
- ASReview提供了一种有希望的方法来提高证据综合的效率.
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