Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

Area of Science:

• Bibliometrics
• Artificial Intelligence
• Sepsis Research

Background:

• Artificial intelligence (AI) is increasingly recognized for its potential in personalized sepsis diagnosis and treatment.
• Bibliometric analysis offers a comprehensive overview of AI in sepsis research, identifying trends and future directions.

Purpose of the Study:

• To conduct a bibliometric analysis of artificial intelligence applications in sepsis.
• To provide a comprehensive overview of the research landscape, identifying key contributors and trends.

Main Methods:

• Searched the Web of Science Core Collection for relevant English-language articles until August 31, 2023.
• Utilized Bibliometrix and VOSviewer for network visualization of authors, institutions, countries, citations, and keywords.

Main Results:

• Identified 259 relevant articles published between 2014 and 2023, showing a consistent rise in annual publications.
• The United States and China are the most prolific countries, with leading journals including Critical Care Medicine and Frontiers in Medicine.
• Research shows a significant surge in AI applications for sepsis in recent years.

Conclusions:

• This analysis provides valuable insights for healthcare policymakers and researchers on AI's potential in sepsis.
• The findings aid in understanding the advantages, sustainability, scope, and impact of AI models for sepsis management.