Artificial Intelligence for Early Sepsis Detection: A Word of Caution-Reference-Cited by-同舟云学术

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Artificial Intelligence for Early Sepsis Detection: A Word of Caution

Published:2023-04-01 Issue:7 Volume:207 Page:853-854
ISSN:1073-449X
Container-title:American Journal of Respiratory and Critical Care Medicine
language:en
Short-container-title:Am J Respir Crit Care Med

Author:

Schinkel Michiel¹²,van der Poll Tom¹³,Wiersinga W. Joost¹³

Affiliation:

1. Center for Experimental and Molecular Medicine and

2. Department of Internal Medicine, VU University Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands

3. Division of Infectious Diseases, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands; and

Publisher

American Thoracic Society

Subject

Critical Care and Intensive Care Medicine,Pulmonary and Respiratory Medicine

Link

https://www.atsjournals.org/doi/pdf/10.1164/rccm.202212-2284VP

Reference9 articles.

1. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

2. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021

3. Clinical applications of artificial intelligence in sepsis: A narrative review

4. External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients

5. Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding bacterial diversity, infection dynamics, prevention of antibiotic resistance: an integrated study in an Algerian hospital context;European Journal of Clinical Microbiology & Infectious Diseases;2024-08-13

2. Compartmentalization of the inflammatory response during bacterial sepsis and severe COVID-19;Journal of Intensive Medicine;2024-07

3. Development and Validation of the First FDA Authorized Artificial Intelligence/Machine Learning Diagnostic Tool for the Prediction of Sepsis Risk;2024-05-07

4. Evaluation of Sepsis Prediction Models before Onset of Treatment;NEJM AI;2024-02-22

5. Editorial: Outcome of sepsis and prediction of mortality risk;Frontiers in Medicine;2023-12-19

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