AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis

AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis

Abstract Background Clinical deterioration is often preceded by subtle physiological changes that, if unheeded, can lead to adverse patient outcomes. The precision of traditional scoring systems in detecting these precursors has limitations, prompting the exploration of AI-based predictive models as...

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Bibliographic Details
Main Authors: Shixin Yuan, Zihuan Yang, Junjie Li, Changde Wu, Songqiao Liu
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical deterioration
Mortality
Artificial intelligence
Patient outcomes
Online Access:https://doi.org/10.1186/s12911-025-03048-x
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