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大型语言模型、更新和系统评价自动化工具的评估:第八届国际系统评价自动化协作(ICASR)会议的重要讨论总结。

Large language models, updates, and evaluation of automation tools for systematic reviews: a summary of significant discussions at the eighth meeting of the International Collaboration for the Automation of Systematic Reviews (ICASR).

机构信息

College of Veterinary Medicine, Michigan State University, East Lansing, MI, 48824, USA.

Institute for Evidence-Based Healthcare, Bond University, Robina, QLD, 4226, Australia.

出版信息

Syst Rev. 2024 Nov 27;13(1):290. doi: 10.1186/s13643-024-02666-2.

DOI:10.1186/s13643-024-02666-2
PMID:39605097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11600926/
Abstract

The eighth meeting of the International Collaboration for the Automation of Systematic Reviews (ICASR) was held on September 7 and 8, 2023, at the University College London, London, England. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient evidence synthesis, e.g., systematic reviews, evidence maps, and scoping reviews of scientific evidence. In 2023, the major themes discussed were understanding the benefits and harms of automation tools that have become available in recent years, the advantages and disadvantages of large language models in evidence synthesis, and approaches to ensuring the validity of tools for the proposed task.

摘要

第八届国际系统评价自动化协作会议(ICASR)于 2023 年 9 月 7 日至 8 日在英国伦敦大学学院举行。ICASR 是一个跨学科组织,其目标是最大限度地利用技术进行快速、准确、高效的证据综合,例如系统评价、证据图谱和科学证据的范围综述。2023 年,讨论的主要主题包括了解近年来可用的自动化工具的优缺点、大型语言模型在证据综合中的优缺点,以及确保拟议任务工具有效性的方法。

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本文引用的文献

1
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system.自动化系统评价中的偏倚风险评估:人类研究人员与机器学习系统的实时混合方法比较。
BMC Med Res Methodol. 2022 Jun 8;22(1):167. doi: 10.1186/s12874-022-01649-y.
2
Statistical stopping criteria for automated screening in systematic reviews.用于系统评价中自动化筛选的统计停止标准。
Syst Rev. 2020 Nov 28;9(1):273. doi: 10.1186/s13643-020-01521-4.
3
A focus on cross-purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR).关注跨用途工具、多学科中研究设计的自动识别以及自动化工具的评估:第四次国际系统评价自动化协作(ICASR)会议重要讨论的总结。
Syst Rev. 2020 May 4;9(1):100. doi: 10.1186/s13643-020-01351-4.
4
Still moving toward automation of the systematic review process: a summary of discussions at the third meeting of the International Collaboration for Automation of Systematic Reviews (ICASR).仍在努力实现系统评价过程的自动化:第三届国际系统评价自动化合作组织(ICASR)会议讨论摘要。
Syst Rev. 2019 Feb 20;8(1):57. doi: 10.1186/s13643-019-0975-y.
5
Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR).在系统评价自动化方面取得进展:国际系统评价自动化合作(ICASR)的原则。
Syst Rev. 2018 May 19;7(1):77. doi: 10.1186/s13643-018-0740-7.
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Moving toward the automation of the systematic review process: a summary of discussions at the second meeting of International Collaboration for the Automation of Systematic Reviews (ICASR).迈向系统评价流程自动化:第二届国际系统评价自动化合作组织(ICASR)会议讨论摘要。
Syst Rev. 2018 Jan 9;7(1):3. doi: 10.1186/s13643-017-0667-4.
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Routine development of objectively derived search strategies.常规制定客观衍生检索策略。
Syst Rev. 2012 Feb 29;1:19. doi: 10.1186/2046-4053-1-19.