搜索更聪明,而不是更难:利用人工智能来增强对理论驱动的评论的文献搜索 - 一个方法学案例研究
R Hunter1,2, A Booth3, L Wood4
1Department of Public Health and Sports Sciences, Medical School Building, University of Exeter, St Luke's Campus, Exeter, EX1 2LU, UK. rebecca.j.hunter@northumbria.ac.uk.
BMC medical research methodology
|March 4, 2026
概括
人工智能 (AI) 工具可以通过识别相关研究来增强复杂评论的文献搜索. 然而,人类判断对于解释细微概念和做出最终决定至关重要.
科学领域:
- 图书统计学 图书统计学
- 信息科学 信息科学 信息科学
- 研究综合研究 综合研究
背景情况:
- 人工智能 (AI) 提供了改善文献搜索研究合成的潜力.
- 理论评论,就像现实主义评论一样,需要对细微证据进行广泛的搜索.
- 这项研究探讨了人工智能工具,用于在现实主义评论中简化文献搜索.
研究的目的:
- 为了说明人工智能工具在支持文学中的应用,寻找一个现实的评论.
- 展示AI如何简化概念丰富证据的识别和组织.
- 在复杂的审查中评估人工智能的实用性,作为传统搜索方法的辅助.
主要方法:
- 人工智能工具 (Scite,Undermind) 应用于一个现实的审查.
- 一个新的分类系统 (祖父母,父母,孩子的论文) 用于研究组织.
- 透明的选和决策框架确保了严谨性和可重复性.
主要成果:
- 人工智能工具促进了概念相关文献的检索和复杂数据的管理.
- 该分类系统有助于结构化组织和完善理论构造.
- 人工智能辅助的工作流证明是灵活的,可以适应各种类型的审查.
结论:
- 由人工智能驱动的工具可以有效地支持文献搜索,特别是对于概念上相关的研究.
- 人工智能工具可以增强,但不能取代研究人员必不可少的批判性解释工作.
- 人类判断对于评估相关性,评估概念和明智决策至关重要.
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