| 胥美美.基于循证视角的高质量临床研究论文自动识别方法的进展与启示[J].情报工程,2025,11(3):041-057 |
| 基于循证视角的高质量临床研究论文自动识别方法的进展与启示 |
| Progress and Insights on Auto-Identifying High-Quality Clinical Research Papers from an Evidence-Based Perspective |
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| DOI： |
| 中文关键词: 临床研究；高质量研究；自动识别方法；临床证据；机器学习 |
| 英文关键词: Clinical Research; High-Quality Research; Auto-Identification Method; Clinical Evidence; Machine Learning |
| 基金项目:中国医学科学院医学与健康科技创新工程项目“生物医学文献信息保障与集成服务平台”（2021-I2M-1-033）；四大慢病重大专项“慢病防治科技成果登记与评价信息集成平台研发（2023ZD0509705）。 |
| 作者 | 单位 | | 胥美美 | 中国医学科学院医学信息研究所 北京 100020 |
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| 摘要点击次数: 39 |
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| 中文摘要: |
| [目的/意义]生物医学文献的快速增长为临床医生跟踪最新知识、检索高质量证据带来挑战。采用人工智能技术识别高质量临床研究，将显著促进有效证据的获取与更新。[方法/过程]首先界定了临床研究及其论文质量的相关概念，随后围绕高质量临床研究论文的识别技术体系，从金标准、具体识别技术等方面对相关研究成果进行了系统梳理，最后总结当前研究现状，指出存在的问题，并对未来发展提出相应启示。[结果/结论]建议未来进一步开发覆盖外科领域和最新临床研究的金标准数据集，拓展构建非英语语种高质量临床研究的自动识别模型，并完善识别高质量临床研究的人工智能方法。 |
| 英文摘要: |
| [Objective/Significance] The rapid growth of biomedical literature brings challenges to clinicians in tracking the latest knowledge and retrieving high-quality evidence. The use of artificial intelligence technology to identify high-quality clinical research will greatly improve the acquisition and update of effective evidence. [Methods/Processes] The article firstly defines the concepts of clinical research and clinical research paper quality, then sorts out relevant research results around the identification technology system of high-quality clinical research papers, from gold standards to specific identification technologies, and finally summarizes the current research status and proposes existing problems and related enlightenment for future development. [Results/Conclusions] It is recommended to develop large-scale gold standard data covering surgical fields and the latest clinical research in the future, expand the auto-identification model for high-quality clinical research in non-English languages, and improve the artificial intelligence method for auto-identifying high-quality clinical research. |
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