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Yun Deok Jang

As seen in: MDPI
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Articles

Real-Time Integration of an AI-Based ECG Interpretation System in the Emergency Department: A Pragmatic Alternating-Day Study of Diagnostic Performance and Clinical Process Metrics

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By Su-Il Kim, Yun Deok Jang, Min-Seok Choi, Seong Ju Kim
| Preprints.org
Submitted: 28 January 2026 You are already at the latest version Background/Objectives: Rapid and accurate electrocardiogram (ECG) interpretation is essential for timely recognition of ST-elevation myocardial infarction (STEMI) and initiation of reperfusion therapy in the emergency department (ED). We evaluated the diagnostic performance of a real-time artificial intelligence (AI) ECG interpretation system and its pragmatic impact when integrated into routine ED workflows.
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JCM | Free Full-Text | Effect of a Real-Time Audio Ventilation Feedback Device on the Survival Rate and Outcomes of Patients with Out-of-Hospital Cardiac Arrest: A Prospective Randomized Controlled Study

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By Eun Dong Lee, Yun Deok Jang, Ji Hun Kang, Yong Song Seo
| MDPI
1. Introduction High-quality CPR is a key clinical procedure performed on patients with cardiac arrest (CA) [1] because it has an important effect on the resuscitation of cardiac arrest patients and has a good outcome on neurological prognosis [2,3]. CPR provided to CA patients consists of chest compression and artificial respiration. The number of chest compressions and the method of respiration may differ depending on whether or not a professional advanced airway device is inserted [4].
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