Global trends, collaboration networks and knowledge mapping of artificial intelligence evolution in sepsis diagnosis and management: A bibliometric analysis.

ABSTRACT:

Objective

Sepsis remains a critical global healthcare challenge with high mortality rates, where traditional diagnostics lack sensitivity and standardized treatments show limited efficacy due to patient variability. While artificial intelligence (AI) has advanced sepsis diagnosis and management, systematic bibliometric analyses are scarce, particularly regarding recent research trends from 2022 to 2025. This study aims to reveal research development patterns and frontier dynamics of AI applications in sepsis diagnosis and management, providing strategic guidance and decision support for researchers, clinicians, and policymakers in this rapidly evolving field.

Methods

Web of Science data related to AI in sepsis published from 2005 to 2025 were retrieved. Multidimensional bibl

SUBMITTER: Lin Z 

PROVIDER: S-EPMC12615925 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature