近十年重症医学应用人工智能技术的可视化分析

The application of artificial intelligence technology in intensive care medicine in the last ten years:a visualization analysis

目的分析人工智能技术在重症医学领域的热点及未来应用趋势。方法计算机检索CNKI、WanFang Data、VIP和Web of Science核心合集数据库,搜集重症医学领域应用人工智能技术的相关文献,检索时限均从2013年1月1日至2022年12月31日。采用文献计量学方法对作者、国家、研究机构、共被引文献和关键词等方面进行可视化分析。结果共纳入986篇中文文献和4016篇英文文献。重症医学人工智能技术研究近十年发文量呈逐年上升趋势,其中英文文献发文量前三的国家分别为中国、美国和德国,预测模型、机器学习分别是中、英文文献中频次最高的关键词,预测疾病进展、死亡率、预后是人工智能在重症医学领域的研究热点。结论人工智能在重症医学领域的应用研究呈上升趋势,研究热点主要涉及监测、预测疾病进展、死亡率、疾病预后以及疾病表型或亚型的分类。

Objective To analyze the hot spot and future application trend of artificial intelligence technology in the field of intensive care medicine.Methods The CNKI,WanFang Data,VIP and Web of Science core collection databases were electronically searched to collect the related literature about the application of artificial intelligence in the field of critical medicine from January 1,2013 to December 31,2022.Bibliometrics was used to visually analyze the author,country,research institution,co-cited literature and key words.Results A total of 986 Chinese articles and 4016 English articles were included.The number of articles published had increased year by year in the past decade,and the top three countries in English literature were China,the United States and Germany.The predictive model and machine learning were the most frequent key words in Chinese and English literature,respectively.Predicting disease progression,mortality and prognosis were the research focus of artificial intelligence in the field of critical medicine.Conclusion The application of artificial intelligence in the field of critical medicine is on the rise,and the research hotspots are mainly related to monitoring,predicting disease progression,mortality,disease prognosis and the classification of disease phenotypes or subtypes.