Research hotspots and frontier trends in the application of artificial intelligence in the health management of chronic obstructive pulmonary disease
10.3760/cma.j.cn115682-20250111-00187
- VernacularTitle:人工智能在慢性阻塞性肺疾病健康管理中应用的研究热点及前沿趋势分析
- Author:
Yuanyuan CHEN
1
;
Kouying LIU
;
Ting TANG
;
Mingye QU
;
Lan YANG
;
Hao CAI
;
Chen WANG
Author Information
1. 南京医科大学护理学院，南京 211166
- Publication Type:Journal Article
- Keywords:
Bibliometrics;
Pulmonary disease, chronic obstructive;
Artificial intelligence;
Health management;
Research hotspots;
Development trends
- From:
Chinese Journal of Modern Nursing
2025;31(23):3126-3134
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the research hotspots and developmental trends in the application of artificial intelligence (AI) in the health management of chronic obstructive pulmonary disease (COPD) .Methods:Literature related to the application of AI in COPD health management published between 1999 and 2024 was retrieved from the Web of Science Core Collection database. Visualization analyses were performed using Scimago Graphica, VOSviewer, and CiteSpace software. National geographic maps, author and institutional collaboration networks, keyword co-occurrence graph, keyword clustering views, and burst detection analysis were constructed to identify research hotspots and trends in this field.Results:A total of 192 publications were included, with an overall increasing trend in annual publication volume. The United States ranked first in publication count. Collaboration among authors and research teams was relatively dispersed. Current research hotspots focus on COPD risk assessment and prediction, health promotion interventions for COPD patients, and improving diagnostic accuracy. Future research trends are expected to emphasize the broader application of AI algorithms, the development of predictive models to improve forecasting performance, integration of diverse technical approaches for differential diagnosis, and enhancement of patient adherence.Conclusions:The application of AI in COPD health management is expanding, yet international and inter-author collaboration remains insufficient. There is a need to broaden and deepen research in this field. Future work may focus more on optimizing and applying algorithmic technologies and improving system construction to enhance patient adherence.
