首页|近10年人工智能在心脏骤停中的研究趋势:基于Bibliometrix 的可视化分析

近10年人工智能在心脏骤停中的研究趋势:基于Bibliometrix 的可视化分析

扫码查看
目的 探讨近10年来人工智能用于心脏骤停领域的研究趋势。方法 通过检索科学网数据库获取人工智能用于心脏骤停领域的相关文献,对文献进行筛选后采用Bibliometrix软件对发文量、引文量、关键词等进行分析。结果 共纳入278篇文章。近10年人工智能用于心脏骤停领域的相关研究呈迅速增长趋势,年增长率为52。6%。发文量排前3位的国家分别为美国[27。5%(79/287)]、中国[12。5%(36/287)]、韩国[12。5%(36/287)]。发文量排前3位的机构分别为首尔大学[10。5%(30/287)]、匹兹堡大学[8。7%(25/287)]、台北医学大学[8。4%(24/287)]。Resuscitation是刊载相关文献量排名第一的期刊。关键词排名前3者分别为 cardiopulmonary-resuscitation[6。4%(51/803)]、cardiac-arrest[6。1%(49/803)]、survival[5。6%(45/803)]。关键词聚类分别为人工智能与心脏骤停后急救、人工智能与心脏骤停发生的预测模型、不同心脏骤停相关人工智能模型的比较、人工智能与心脏骤停治疗及预后方面4类。结论 人工智能在心脏骤停的急救、预测、治疗、效果评估等多方面得到了广泛研究,未来人工智能用于心脏骤停领域仍是研究热点。
Research trend of artificial intelligence in cardiac arrest in recent 10 years:visual analysis based on Bibliometrix
Objective To explore the research trend of artificial intelligence in the field of cardiac arrest in the past 10 years.Methods Literature related to the application of artificial intelligence in the field of cardi-ac arrest was obtained by searching the Science Network database.After screening the literature,the Bibliome-trix software was used to analyze the number of publications,citations,keywords,etc.Results A total of 278 articles were included.In the past 10 years,the research on artificial intelligence in the field of cardiac arrest has shown a rapid growth trend,with an annual growth rate of 52.6%.The top three countries with the lar-gest number of publications were the United States[27.5%(79/287)],China[12.5%(36/287)],and South Korea[12.5%(36/287)].The top three institutions with the largest number of publications were University of Seoul[10.5%(30/287)],University of Pittsburgh[8.7%(25/287)]and Taipei Medical University[8.4%(24/287)].Resuscitation is the journal with the largest number of published literature.The top three key-words were cardiopulmonary-resuscitation[6.4%(51/803)],cardiac-arrest[6.1%(49/803)]and survival[5.6%(45/803)].Keyword clustering was divided into four categories:artificial intelligence and first aid after cardiac arrest,artificial intelligence and prediction model of cardiac arrest,comparison of different artificial in-telligence models related to cardiac arrest,artificial intelligence and treatment and prognosis of cardiac arrest.Conclusion Artificial intelligence has been widely studied in the first aid,prediction,treatment and effect evaluation of cardiac arrest.In the future,artificial intelligence is still a research hotspot in the field of cardiac arrest.

Artificial intelligenceCardiac arrestResearch trendsBibliometrixBibliometrics

龙琼、钟志涛

展开 >

自贡市第四人民医院检验科,四川 自贡 643000

自贡市第四人民医院急诊科,四川 自贡 643000

人工智能 心脏骤停 研究趋势 Bibliometrix 文献计量学

2024

现代医药卫生
重庆市卫生信息中心

现代医药卫生

影响因子:0.758
ISSN:1009-5519
年,卷(期):2024.40(9)
  • 11