Artificial intelligence in obstructive sleep apnea: A bibliometric analysis
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Summary
This summary is machine-generated.Artificial intelligence (AI) is increasingly used in obstructive sleep apnea (OSA) research, with significant growth observed since 2017. Future applications will focus on diagnosis, personalized treatment, and management, enhancing sleep health outcomes.
Area Of Science
- Bibliometric analysis
- Sleep medicine
- Artificial intelligence
Background
- Obstructive sleep apnea (OSA) is a prevalent condition requiring advanced diagnostic and management strategies.
- Artificial intelligence (AI) offers novel approaches to understanding and treating OSA.
Purpose Of The Study
- To conduct a bibliometric analysis of AI applications in OSA research.
- To explore current trends, key contributors, and future directions in AI for OSA.
Main Methods
- Bibliometric analysis of 867 articles from Web of Science (2011-2024).
- Utilized VOSviewer and Citespace for visualization of countries, institutions, authors, and keywords.
- Descriptive analysis performed using Microsoft Excel 2021.
Main Results
- Publication numbers increased significantly after 2017.
- China led in publications; Universidad de Valladolid and IEEE Journal of Biomedical and Health Informatics were most productive.
- Dominant keywords included OSA, machine learning, Electrocardiography, and deep learning.
Conclusions
- AI, especially deep learning, is crucial for OSA diagnosis, treatment, and management.
- Future research should prioritize international collaboration and interdisciplinary communication.
- AI advancements promise more precise, convenient, and personalized sleep health services.
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