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Cho K-J, Kwon O, Kwon J-myoung, et al. Crit Care Med. 2020;48:e285-e289.
This study compared an artificial intelligence (AI)-based early warning system using machine learning with conventional trigger methods for predicting deterioration among hospitalized patients, defined as in-hospital cardiac arrest resulting in ICU admissions. The AI system accurately predicted deterioration and was more accurate than conventional methods, demonstrating its potential effectiveness in EHR-based rapid response systems.