Artificial Intelligence in Infection Management in the ICU

被引：0
作者：
Thomas De Corte
Sofie Van Hoecke
Jan De Waele
机构：
[1] Ghent University,Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences
[2] Ghent University Hospital,Department of Intensive Care Medicine
[3] Ghent University – imec,IDLab
来源：
Critical Care | / 26卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2022. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2022. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from https://link.springer.com/bookseries/8901.
引用
收藏
相关论文
共 143 条
  • [1] Nathwani D(2019)Value of hospital antimicrobial stewardship programs [ASPs]: a systematic review Antimicrob Resist Infect Control 8 35-2850
  • [2] Varghese D(2021)Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare Nat Commun 12 711-94
  • [3] Stephens J(2021)A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis PLoS ONE 16 e0245157-162
  • [4] Ansari W(2021)Artificial intelligence in clinical care amidst COVID-19 pandemic: a systematic review Comput Struct Biotechnol J 19 2833-400
  • [5] Martin S(2020)Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study Clin Microbiol Infect 26 87-41
  • [6] Charbonneau C(2021)Artificial intelligence to get insights of multi-drug resistance risk factors during the first 48 hours from ICU admission Antibiotics 10 239-2505
  • [7] Goh KH(2018)Predicting central line-associated bloodstream infections and mortality using supervised machine learning J Crit Care 45 156-462
  • [8] Wang L(2020)Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy Intensive Care Med 46 383-43
  • [9] Yeow AYK(2020)Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research Respir Res 21 45-2680
  • [10] Poh H(2016)Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic Artif Intell Med 69 33-407
12345678910