Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards

Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards

Abstract Background Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed to investigate the predictive accuracy of t...

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Bibliographic Details
Main Authors: Kyung-Jae Cho, Jung Soo Kim, Dong Hyun Lee, Sang‑Min Lee, Myung Jin Song, Sung Yoon Lim, Young-Jae Cho, You Hwan Jo, Yunseob Shin, Yeon Joo Lee
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Critical Care
Subjects:
Cardiac arrest
Intensive care unit
Early warning score
Artificial intelligence
Deep learning
Rapid response system
Online Access:https://doi.org/10.1186/s13054-023-04609-0

Internet

https://doi.org/10.1186/s13054-023-04609-0

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