人工智能技术在脓毒症早期辅助诊断中应用的研究进展
Research progress of artificial intelligence technology in early diagnosis of sepsis
王孝乾 1齐文杰1
作者信息
- 1. 首都医科大学附属北京友谊医院感染内科,北京 100050
- 折叠
摘要
脓毒症是一种由感染引发,最终可导致全身多器官功能障碍甚至危及生命的疾病.早期识别、早期干预是治疗脓毒症的关键,可显著改善患者的预后.然而,目前采用单一生物标志物对脓毒症进行早期诊断的效果仍不理想.近年来,研究者将早期诊断脓毒症的目光投向了人工智能技术.本文简要介绍了脓毒症相关炎症指标、生物标志物及危重症评分系统早期识别脓毒症的优劣势,并着重对人工智能技术用于脓毒症早期诊断的研究进展及局限进行综述,以寻求脓毒症早期诊断的新办法、新思路.
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.
关键词
脓毒症/早期诊断/生物标志物/机器学习/人工智能Key words
Sepsis/Early diagnosis/Biomarker/Machine learning/Artificial intelligence引用本文复制引用
基金项目
首都卫生发展科研专项(2020-2-2027)
出版年
2024
NETL
NSTL
万方数据