环境与职业医学2025，Vol.42Issue(10)：1216-1224,1233,10.DOI:10.11836/JEOM25103
人工智能在尘肺病及并发症领域应用的文献计量和可视化分析
Bibliometric and visual analysis of artificial intelligence applications in pneumoconiosis and its complications
摘要
Abstract
[Background]Pneumoconiosis,a group of lung disease caused by long-term inhalation of occu-pational dust,features progressive development,irreversibility,and a high incidence of compli-cations.It seriously endangers the health of the occupational population and exacerbates the so-cioeconomic burden. [Objective]To understand the development and major research themes of artificial intelligence research concerning pneumoconiosis and its complications. [Methods]Relevant academic papers before 2024-10-01 were retrieved from China National Knowledge Infrastructure and Web of Science,and analyzed separately according to the author,institutions,and keywords,then visualized with Citespace,the Bibliometrix package in R,and VOSviewer software. [Results]This study included 1068 articles(208 Chinese and 860 English).The results showed that artificial intelligence application in pneumoconiosis and its complications has seen explosive growth in the past five years.Institutions were mainly concentrated in universities and their affil-iated medical units.Identified research hotspots included medical image recognition and analy-sis,auxiliary diagnosis,and risk prediction.Keywords like artificial intelligence,tuberculosis,deep learning,chronic obstructive pulmonary disease,and machine learning showed high centrality. [Conclusion]As computer technology advances,the use of artificial intelligence in addressing pneumoconiosis and its related complications is steadily expanding.Its research perspective has gradually expanded from simple disease prediction to diversified fields such as image recognition and health monitoring.Early pneumoconiosis screening,auxiliary differential diagnosis,and health monitoring will be the focus of future research.关键词
尘肺/人工智能/计算机辅助诊断/可视化分析Key words
pneumoconiosis/artificial intelligence/computer-aided diagnosis/visual analysis分类
医药卫生引用本文复制引用
付裕,吕向裴,李涛,王焕强..人工智能在尘肺病及并发症领域应用的文献计量和可视化分析[J].环境与职业医学,2025,42(10):1216-1224,1233,10.基金项目
国家自然科学基金面上项目(82574060) （82574060）
国家科技重大专项课题项目(2024ZD0528901) （2024ZD0528901）
