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Total 9건 1 페이지

2026-01-20

Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled Trial

Mi Hwa Park, Mincheol Kim, Man-Jong Lee, Ah Jin Kim, Kyung-Jae Cho, Jinhui Jang, Jaehun Jung, Mineok Chang, Dongjoon Yoo, Jung Soo Kim
2024-06

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 Study: Erra

Critical Care Medicine
2023-09-05

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

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
2022-10-26

Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

Yunseob Shin, Kyung-Jae Cho, Yeha Lee, Yu Hyeon Choi, Jae Hwa Jung, Soo Yeon Kim, Yeo Hyang Kim, Young A Kim, Joongbum Cho, Seong Jong Park, Won Kyoung Jhang
2022-02

Development and validation of a deep-learning-based pediatric early warning system: A single-center study

Seong Jong Park, Kyung-Jae Cho, Oyeon Kwon, Hyunho Park, Yeha Lee, Woo Hyun Shim, Chae Ri Park, Won Kyoung Jhang
2021-06

A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards

Yeon Joo Lee, Kyung-Jae Cho, Oyeon Kwon, Hyunho Park, Yeha Lee, Joon-Myoung Kwon, Jinsik Park, Jung Soo Kim, Man-Jong Lee, Ah Jin Kim, Ryoung-Eun Ko, Kyeongman Jeon, You Hwan Jo
2022-10-26

Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

Yunseob Shin, Kyung-Jae Cho, Yeha Lee, Yu Hyeon Choi, Jae Hwa Jung, Soo Yeon Kim, Yeo Hyang Kim, Young A Kim, Joongbum Cho, Seong Jong Park, Won Kyoung Jhang
2023-09-05

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

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
2018-06-26

An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest

Joon‐myoung Kwon, MD, Youngnam Lee, MS, Yeha Lee, PhD, Seungwoo Lee, BS, and Jinsik Park, MD, PhD

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Publications

Clinical Effectiveness of an Artificial Intelligence-Based Prediction Model for Cardiac Arrest in General Ward-Admitted Patients: A Non-Randomized Controlled Trial

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 Study: Erra

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

Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

Development and validation of a deep-learning-based pediatric early warning system: A single-center study

A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards

Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

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

An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest