AI in Chronic Disease Nursing: Trends
Source: frontiersin.org
The increasing incidence of chronic diseases and multimorbidity poses significant challenges to global healthcare and nursing. Artificial intelligence offers broad application prospects in chronic disease care. A study investigated the current status, hot topics, and future prospects of artificial intelligence in this field.
Literature related to artificial intelligence and chronic disease care was retrieved from the Web of Science Core Collection database, published between 2001 and 31 December 2023. Bibliometric analysis and visualization was conducted using CiteSpace 5.7.R5 and VOSviewer 1.6.19 to analyze countries/regions, institutions, journals, references, and keywords.
Results
A total of 2438 articles were retrieved, indicating an explosive growth in publications over the past five years. The United States emerged as the earliest adopter of research in this domain (since 2002) and contributed the most publications (490 articles),with IEEE ACCESS being the most cited journal.
Hot application areas of artificial intelligence in chronic disease care included "diabetic retinopathy," "heart disease prediction," "breast cancer," and "skin cancer." Major research methodologies encompassed "machine learning," "deep learning," "neural network," and "text mining." Potential future research hotspots include "internet of medical things."
Conclusion
This study unveils the current status and development trends of artificial intelligence in chronic disease care, offering insights for future artificial intelligence application research.