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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Autors principals:	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:	Artigo
Idioma:	Inglês
Publicat:	BMC 2023-09-01
Col·lecció:	Critical Care
Matèries:	Cardiac arrest Intensive care unit Early warning score Artificial intelligence Deep learning Rapid response system
Accés en línia:	https://doi.org/10.1186/s13054-023-04609-0
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