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Updated: Jul 2, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
[Research progress of artificial intelligence technology in early diagnosis of sepsis]
1Department of Infection, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China. Corresponding author: Qi Wenjie,
Abstract:
Sepsis is caused by infection, which can ultimately lead to multiple organ dysfunction and even life-threatening. Early recognition and early treatment can significantly improve the prognosis of sepsis patients. However, the effect of using a single biomarker for early diagnosis of sepsis is still not ideal. In recent years, researchers have turned their attention to artificial intelligence technology for early diagnosis of sepsis. This paper briefly introduces the advantages and disadvantages of sepsis related inflammatory indicators, biomarkers, and scoring systems of disease severity for early identification of sepsis, and focuses on the research progress and limitations of artificial intelligence technology for early diagnosis of sepsis, aiming to seek new methods and ideas for early diagnosis of sepsis.

