Research progress of artificial intelligence technology in early diagnosis of sepsis
10.3760/cma.j.cn121430-20230411-00266
- VernacularTitle:人工智能技术在脓毒症早期辅助诊断中应用的研究进展
- Author:
Xiaoqian WANG
1
;
Wenjie QI
Author Information
1. 首都医科大学附属北京友谊医院感染内科，北京 100050
- Keywords:
Sepsis;
Early diagnosis;
Biomarker;
Machine learning;
Artificial intelligence
- From:
Chinese Critical Care Medicine
2024;36(1):98-101
- CountryChina
- Language:Chinese
-
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.
