| 刘惠琴,孙 悦.AI赋能肿瘤类科技期刊选题策划的路径探索[J].中国肿瘤,2026,35(9):735-742. |
| AI赋能肿瘤类科技期刊选题策划的路径探索 |
| The Pathway for AI Empowering Oncology Scientific Journal Topic Selection and Planning |
| 投稿时间：2026-05-19 |
| DOI：10.11735/j.issn.1004-0242.2026.09.A011 |
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| 中文关键词: 科技期刊 肿瘤 选题策划 人工智能 数据驱动 人机协同 |
| 英文关键词:scientific journals oncology topic selection and planning artificial intelligence data-driven human-AI collaboration |
| 基金项目:中国科协 2024 年度中国科技期刊卓越行动计划二期英文单刊项目（卓越二期- A2-002）；天津市卫生健康委 2022 年度天津市医学重点学科建设项目（TJYXZDXK-3-003）；中国科协中国科技期刊提能拓展计划项目 |
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| 摘要点击次数: 21 |
| 全文下载次数: 7 |
| 中文摘要: |
| 摘 要：人工智能（artificial intelligence，AI）技术的快速迭代正在全方位重塑科技期刊出版全流程，选题策划作为期刊出版的源头核心环节，其智能化转型已成为行业重点研究议题。当前以生成式AI为核心的选题策划模式虽可显著提升资料搜集效率，但同时存在算法生成逻辑不透明、产出选题同质化、分析结论难以核验等固有局限。针对上述现实痛点，全文构建“编辑主导、数据驱动、AI辅助”的人机协同选题策划模型，并从多源数据采集、智能分析工具搭建、期刊策划实践落地3个维度开展系统性阐释。研究表明，AI的核心定位为编辑辅助工具而非专业判断替代者，行业转型关键在于搭建以编辑为决策核心、学术数据为驱动基底、AI工具为执行载体的协同工作机制，依托多维数据支撑选题研判，形成可循环迭代的标准化策划实施路径，为肿瘤类科技期刊完善选题策划体系提供理论依据与实操参考。 |
| 英文摘要: |
| Abstract： The rapid advancement of artificial intelligence(AI) is profoundly influencing the publishing processes of scientific journals. As the starting point of journal publishing， topic selection and planning has become a critical focus for intelligent transformation. While current approaches centered on generative AI have improved efficiency， they also face limitations such as opaque generation processes， homogenized content， and difficulty in verifying results. To address these issues， this paper proposes a novel topic selection and planning model characterized by “editor-led， data-driven， and AI-assisted” approaches， and systematically elaborates on this model from three dimensions： data collection， analytical tools， and planning practices. The study concludes that the value of AI lies in assisting rather than replacing editors’ judgment. The key is to establish a human-AI collaboration mechanism with editors at the core， data as the driver， and AI as the tool， enabling data to inform decision-making and forming an iterative planning pathway， thereby providing theoretical and practical references for oncology scientific journals to enhance their topic selection and planning capabilities. |
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