Extension of an ICU-based noninvasive model to predict latent shock in the emergency department: an exploratory study

Extension of an ICU-based noninvasive model to predict latent shock in the emergency department: an exploratory study

BackgroundArtificial intelligence (AI) has been widely adopted for the prediction of latent shock occurrence in critically ill patients in intensive care units (ICUs). However, the usefulness of an ICU-based model to predict latent shock risk in an emergency department (ED) setting remains unclear....

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Bibliographic Details
Main Authors: Mingzheng Wu, Shaoping Li, Haibo Yu, Cheng Jiang, Shuai Dai, Shan Jiang, Yan Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
shock
emergency department
intensive care unit
artificial intelligence
model
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1508766/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2024.1508766/full

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