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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.
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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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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.
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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).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。
Syst Rev. 2024 Nov 27;13(1):290. doi: 10.1186/s13643-024-02666-2.
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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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The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
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Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed.生物医学文献系统评价自动化：PubMed 索引研究的范围综述。
Syst Rev. 2024 Jul 8;13(1):174. doi: 10.1186/s13643-024-02592-3.
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A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses.自动化生命系统评价和证据综合的最新工具和创新的叙述性综述。
Z Evid Fortbild Qual Gesundhwes. 2023 Sep;181:65-75. doi: 10.1016/j.zefq.2023.06.007. Epub 2023 Aug 16.
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A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?信任的问题：我们能否建立一个证据基础，以获得对系统评价自动化技术的信任？
Syst Rev. 2019 Jun 18;8(1):143. doi: 10.1186/s13643-019-1062-0.
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Usage of automation tools in systematic reviews.自动化工具在系统评价中的使用。
Res Synth Methods. 2019 Mar;10(1):72-82. doi: 10.1002/jrsm.1335. Epub 2019 Jan 22.
引用本文的文献
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Artificial Intelligence and Machine Learning to Improve Evidence Synthesis Production Efficiency: An Observational Study of Resource Use and Time-to-Completion.人工智能与机器学习助力提高证据综合生成效率：资源利用与完成时间的观察性研究
Cochrane Evid Synth Methods. 2025 May 19;3(3):e70030. doi: 10.1002/cesm.70030. eCollection 2025 May.
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Artificial intelligence in food and nutrition evidence: The challenges and opportunities.食品与营养领域人工智能的证据：挑战与机遇
PNAS Nexus. 2024 Oct 15;3(12):pgae461. doi: 10.1093/pnasnexus/pgae461. eCollection 2024 Dec.
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Enhancing systematic literature review adapting 'double diamond approach'.采用“双钻石方法”加强系统文献综述。
Heliyon. 2024 Nov 20;10(22):e40581. doi: 10.1016/j.heliyon.2024.e40581. eCollection 2024 Nov 30.
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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).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。
Syst Rev. 2024 Nov 27;13(1):290. doi: 10.1186/s13643-024-02666-2.
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Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research.在2019冠状病毒病（COVID-19）研究的动态地图中，使用机器学习的微软学术图谱进行自动研究识别的成本效益分析。
Wellcome Open Res. 2024 Mar 26;6:210. doi: 10.12688/wellcomeopenres.17141.2. eCollection 2021.
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Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trials.比较从描述随机临床试验的摘要中提取信息的生成式方法和抽取式方法。
J Biomed Semantics. 2024 Apr 23;15(1):3. doi: 10.1186/s13326-024-00305-2.
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A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations prior to searching and screening.比较机器学习方法，以从 PROSPERO 注册前的搜索和筛选中找到临床试验，以便纳入新的系统评价。
Res Synth Methods. 2024 Jan;15(1):73-85. doi: 10.1002/jrsm.1672. Epub 2023 Sep 25.
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The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study.机器学习工具对证据综合的影响：资源利用和完成时间的回顾性试点研究方案。
Syst Rev. 2023 Jan 17;12(1):7. doi: 10.1186/s13643-023-02171-y.
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Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare.医疗保健中人工智能的证据综合、数字记录员和转化挑战。
Cell Rep Med. 2022 Dec 20;3(12):100860. doi: 10.1016/j.xcrm.2022.100860. Epub 2022 Dec 12.
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Construction of a Meta-Evidence Prototype Database of Traditional Chinese Medicine Splenogastric Diseases and Its Application in an Automatic Meta-Analysis System.中医脾胃病元证据原型数据库的构建及其在自动Meta分析系统中的应用
Evid Based Complement Alternat Med. 2022 Jul 13;2022:6933523. doi: 10.1155/2022/6933523. eCollection 2022.
本文引用的文献
1
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.
2
Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies.超越采用：一个用于理论化和评估健康与护理技术的未采用、废弃以及扩大规模、传播和可持续性挑战的新框架。
J Med Internet Res. 2017 Nov 1;19(11):e367. doi: 10.2196/jmir.8775.
3
SEED: a tool for disseminating systematic review data into Wikipedia.SEED：一种将系统评价数据传播到维基百科的工具。
Syst Rev. 2017 Oct 17;6(1):206. doi: 10.1186/s13643-017-0607-3.
4
Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist.系统评价中用于文献筛选的文本挖掘研究的可重复性：评估与清单
J Biomed Inform. 2017 Sep;73:1-13. doi: 10.1016/j.jbi.2017.07.010. Epub 2017 Jul 12.
5
Design and implementation of Metta, a metasearch engine for biomedical literature retrieval intended for systematic reviewers.元搜索引擎 Metta 的设计与实现，旨在为系统评价者检索生物医学文献。
Health Inf Sci Syst. 2014 Jan 10;2:1. doi: 10.1186/2047-2501-2-1. eCollection 2014.
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Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.随机对照试验文章的自动置信度分级分类：循证医学的辅助手段
J Am Med Inform Assoc. 2015 May;22(3):707-17. doi: 10.1093/jamia/ocu025. Epub 2015 Feb 5.
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Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial.聚合器：一种用于识别源自同一基础临床试验的MEDLINE文章的机器学习方法。
Methods. 2015 Mar;74:65-70. doi: 10.1016/j.ymeth.2014.11.006. Epub 2014 Nov 20.
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