评估RMES,一个使用人工智能的自动化软件工具,用于文献选,引用已发表的系统评论作为案例研究:开发和可用性研究
Ayaka Sugiura1, Satoshi Saegusa1, Yingzi Jin1
1Deloitte Analytics, Deloitte Tohmatsu Risk Advisory LLC, Tokyo, Japan.
JMIR formative research
|December 9, 2024
概括
快速医学证据综合 (RMES) 软件准确地选文章进行系统审查,大大减少了基于证据的医学研究人员的工作量.
科学领域:
- 医疗信息学 医疗信息学
- 基于证据的医学基于证据的医学.
- 图书统计学 图书统计学
背景情况:
- 系统性审查和元分析对于基于证据的医学至关重要.
- 在系统审查中,信息检索和文献选是耗时的任务.
- 快速医学证据合成 (RMES) 是一个软件工具,旨在简化这些流程.
研究的目的:
- 在系统性审查中评估RMES对文献选的准确性.
- 根据已公布的系统性审查数据评估RMES的性能.
主要方法:
- RMES被用来选PubMed索引文章的标题和摘要,这些文章来自12个系统性评论.
- 应用了四种过方法:研究类型,研究类型+疾病,研究类型+干预,研究类型+疾病+干预.
- 通过将RMES识别的文章与原始系统性审查中包含的文章进行比较来确定准确性.
主要成果:
- 在12个审查中,RMES分析的文章数量从46到5612不等.
- 四个过器的平均准确率在58.6%至80.9%之间.
- 在正确识别相关文章方面,RMES表现出了可变但显著的表现.
结论:
- 在系统性审查中,RMES表现出良好的性能和准确性,用于对文章的初始选.
- 该软件有可能大大减少对文学选所需的手工工作.
- 通过提高效率,RMES可以帮助基于证据的医学研究人员.
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