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[Research progress of artificial intelligence technology in early diagnosis of sepsis].
Wang, Xiaoqian; Qi, Wenjie.
Afiliação
  • Wang X; Department of Infection, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China. Corresponding author: Qi Wenjie, Email: qi_wenjie@ccmu.edu.cn.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 36(1): 98-101, 2024 Jan.
Article em Zh | MEDLINE | ID: mdl-38404282
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sepse Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Sepse Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article