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Vascular Specialist International|October 29, 2015
Carbon Dioxide Angiography: Scientific Principles and PracticeKyung Jae Cho
Critical Care Medicine|February 21, 2024
External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center StudyKyung-Jae Cho, Kwan Hyung Kim, Jaewoo Choi, et al.
Critical Care Medicine|September 18, 2020
Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health RecordByeong Tak Lee, O-Yeon Kwon, Hyunho Park, et al.
Diagnostics (Basel, Switzerland)|June 12, 2026
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 KoreaMinjeong Kim, Dongjoon Yoo, Eunbi Noh, et al.
Biomedical Journal|April 14, 2022
Development and validation of a deep-learning-based pediatric early warning system: A single-center studySeong Jong Park, Kyung-Jae Cho, Oyeon Kwon, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|March 6, 2020
Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical servicesDa-Young Kang, Kyung-Jae Cho, Oyeon Kwon, et al.
Critical Care Medicine|March 25, 2020
Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response SystemKyung-Jae Cho, Oyeon Kwon, Joon-Myoung Kwon, et al.
Diagnostics (Basel, Switzerland)|January 28, 2026
Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled TrialMi Hwa Park, Mincheol Kim, Man-Jong Lee, et al.
Journal of Korean Medical Science|April 26, 2022
Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected InfectionRyoung-Eun Ko, Oyeon Kwon, Kyung-Jae Cho, et al.
Critical Care (London, England)|September 5, 2023
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 wardsKyung-Jae Cho, Jung Soo Kim, Dong Hyun Lee, et al.
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