TY -非盟的唐,Ri盟——张Shuyi AU -叮,Chenling盟——朱Mingli AU -高,元PY - 2022 DA - 2022/11/30 TI -人工智能在重症监护医学:文献计量分析乔- J地中海互联网Res SP - e42185六世24 - 11 KW -重症监护医学KW -人工智能KW -文献计量分析KW -机器学习KW -败血症AB -背景:兴趣关键相关的人工智能(AI)的研究正在迅速增长。然而，在测量和分析全球科学出版物的综合文献计量学研究中，文献仍然缺乏。目的:本研究的目的是评估重症医学中人工智能的全球研究趋势，基于出版物产出、引用、国家之间的合著者以及作者关键词的共现情况。方法:从Scopus数据库中检索截至2022年3月发表的文献共3619篇。选择文档类型为文章后，检查标题和摘要是否合格。最后使用VOSviewer进行文献计量学研究，共纳入1198篇论文。计算了出版物、首选期刊、主要研究国家、国际合作和顶级机构的增长率。结果:2018 - 2022年论文数量急剧增加，占全部收录论文的72.53%(869/1198)。美国和中国约占总发表量的55.17%(661/1198)。在15所最具生产力的大学中，有9所位于全球前100名。 Detecting clinical deterioration, monitoring, predicting disease progression, mortality, prognosis, and classifying disease phenotypes or subtypes were some of the research hot spots for AI in patients who are critically ill. Neural networks, decision support systems, machine learning, and deep learning were all commonly used AI technologies. Conclusions: This study highlights popular areas in AI research aimed at improving health care in intensive care units, offers a comprehensive look at the research trend in AI application in the intensive care unit, and provides an insight into potential collaboration and prospects for future research. The 30 articles that received the most citations were listed in detail. For AI-based clinical research to be sufficiently convincing for routine critical care practice, collaborative research efforts are needed to increase the maturity and robustness of AI-driven models. SN - 1438-8871 UR - //www.mybigtv.com/2022/11/e42185 UR - https://doi.org/10.2196/42185 UR - http://www.ncbi.nlm.nih.gov/pubmed/36449345 DO - 10.2196/42185 ID - info:doi/10.2196/42185 ER -