Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea

<b>Background/Objectives:</b> In-hospital cardiac arrest (IHCA) remains a devastating event associated with high morbidity and mortality among general ward patients. While Rapid Response Systems (RRS) can help identify deteriorating patients, maintaining these systems in secondary hospitals is frequ...

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Egile Nagusiak:	Minjeong Kim, Dongjoon Yoo, Eunbi Noh, Yongwook Jeong, Minsoo Kim, Kyung-Jae Cho, Mincheol Kim, You Dong Sohn, Gyu Chong Cho
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-05-01
Saila:	Diagnostics
Gaiak:	artificial intelligence clinical deterioration deep learning DeepCARS early warning score in-hospital cardiac arrest
Sarrera elektronikoa:	https://www.mdpi.com/2075-4418/16/11/1682
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