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Artificial Intelligence as a New Research Ally? Performing AI-Assisted Systematic Literature Reviews in Health Economics.

作者信息

van Mossel Sietse, Oude-Wolcherink Martijn Johan, de Feria Cardet Rafael Emilio, de Geus-Oei Lioe-Fee, Vriens Dennis, Koffijberg Hendrik, Saing Sopany

机构信息

Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands.

Department of Biomedical Photonic Imaging, University of Twente, Enschede, The Netherlands.

出版信息

Pharmacoeconomics. 2025 Jun;43(6):647-650. doi: 10.1007/s40273-025-01481-4. Epub 2025 Apr 10.

DOI:10.1007/s40273-025-01481-4
PMID:40208557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12081476/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3fa/12081476/c4d769057b29/40273_2025_1481_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3fa/12081476/4ffdc08d2e3a/40273_2025_1481_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3fa/12081476/c4d769057b29/40273_2025_1481_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3fa/12081476/4ffdc08d2e3a/40273_2025_1481_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3fa/12081476/c4d769057b29/40273_2025_1481_Fig2_HTML.jpg

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本文引用的文献

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A Systematic Literature Review of Modelling Approaches to Evaluate the Cost Effectiveness of PET/CT for Therapy Response Monitoring in Oncology.评估正电子发射断层扫描/计算机断层扫描(PET/CT)用于肿瘤治疗反应监测的成本效益的建模方法的系统文献综述
Pharmacoeconomics. 2025 Feb;43(2):133-151. doi: 10.1007/s40273-024-01447-y. Epub 2024 Nov 3.
2
The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses.SAFE 程序:一种实用的停止启发式方法,用于基于主动学习的系统评价和荟萃分析中的筛选。
Syst Rev. 2024 Mar 1;13(1):81. doi: 10.1186/s13643-024-02502-7.
3
Assessing Diagnostic Performance.
评估诊断性能。
NEJM Evid. 2024 Feb;3(2):EVIDra2300232. doi: 10.1056/EVIDra2300232. Epub 2024 Jan 23.
4
Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles?人工智能能否在健康经济文章的系统评价中去芜存菁?
Expert Rev Pharmacoecon Outcomes Res. 2023 Jul-Dec;23(9):1049-1056. doi: 10.1080/14737167.2023.2234639. Epub 2023 Aug 13.
5
Artificial intelligence in systematic reviews: promising when appropriately used.系统评价中的人工智能:恰当使用时前景广阔。
BMJ Open. 2023 Jul 7;13(7):e072254. doi: 10.1136/bmjopen-2023-072254.
6
Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records.主动学习模型在系统评价筛选优先级中的性能:平均发现相关记录时间的模拟研究。
Syst Rev. 2023 Jun 20;12(1):100. doi: 10.1186/s13643-023-02257-7.
7
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Syst Rev. 2022 Dec 1;11(1):258. doi: 10.1186/s13643-022-02122-z.
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Using artificial intelligence methods for systematic review in health sciences: A systematic review.利用人工智能方法进行健康科学系统评价:系统评价。
Res Synth Methods. 2022 May;13(3):353-362. doi: 10.1002/jrsm.1553. Epub 2022 Feb 28.
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Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses.在进行知识综合时,用于标题和摘要筛选的人工智能使用指南。
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