人工智能证据综合的搜索工具:比较分析和实施建议
Robin Featherstone1, Melissa Walter1, Danielle MacDougall1
1Canada's Drug Agency Ottawa Ontario Canada.
Cochrane evidence synthesis and methods
|September 11, 2025
概括
人工智能 (AI) 搜索工具显示信息检索任务的可变性能. 建议采用"适合目的"的策略,专家将人工智能工具用于特定需求.
科学领域:
- 健康科学 卫生科学 卫生科学
- 信息科学 信息科学 信息科学
- 计算机科学 计算机科学
背景情况:
- 像人工智能 (AI) 这样的新技术需要仔细评估才能实施.
- 加拿大药物管理局的研究信息服务试图评估用于信息检索的AI工具.
研究的目的:
- 为了评估三个AI搜索工具的性能:Lens.org,SpiderCite和微软Copilot.
- 为信息检索中的AI工具制定实施建议.
主要方法:
- 一种多模式的方法,包括文献审查,回顾性比较分析和重点小组.
- 将AI工具的性能与加拿大药物局的标准信息检索实践进行了比较.
- 测量了灵敏度/回忆力,读取所需数量 (NNR),时间,独特贡献以及对项目发现的影响,使用7个已完成项目的数据.
主要成果:
- 人工智能搜索工具在不同信息检索任务中显示出不一致和可变的性能.
- 在评估的人工智能工具和标准实践之间,性能指标差异很大.
结论:
- 人工智能搜索工具并不普遍优越,并且对复杂的信息检索具有性能限制.
- 建议采用"适合目的"的方法,指导信息专家为特定任务或项目类型战略性地利用人工智能工具.
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