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Journal of the American Heart Association
|
June 28, 2018
An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest
Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, et al.
Echocardiography (Mount Kisco, N.Y.)
|
December 6, 2018
Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography
Joon-Myoung Kwon, Kyung-Hee Kim, Ki-Hyun Jeon, et al.
European Heart Journal
|
March 22, 2021
Artificial intelligence using electrocardiography: strengths and pitfalls
Joon-Myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, et al.
Acute and Critical Care
|
November 15, 2019
Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning
Youngnam Lee, Joon-Myoung Kwon, Yeha Lee, et al.
Plos One
|
October 16, 2018
Validation of deep-learning-based triage and acuity score using a large national dataset
Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, et al.
Clinical and Experimental Emergency Medicine
|
November 28, 2023
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning-based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department
Tae Gun Shin, Youngjoo Lee, Kyuseok Kim, et al.
BMJ Quality & Safety
|
March 26, 2025
Under-reporting of falls in hospitals: a multisite study in South Korea
Insook Cho, Joon-Myoung Kwon, Whasuk Choe, et al.
Journal of Electrocardiology
|
March 9, 2020
Artificial intelligence for detecting mitral regurgitation using electrocardiography
Joon-Myoung Kwon, Kyung-Hee Kim, Zeynettin Akkus, et al.
Critical Care Medicine
|
September 18, 2020
Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record
Byeong Tak Lee, O-Yeon Kwon, Hyunho Park, et al.
European Heart Journal. Digital Health
|
May 4, 2026
Prediction of vasovagal syncope using artificial intelligence-enabled smartwatch photoplethysmography-derived heart rate variability
Hak Seung Lee, Junho Song, Moonki Jung, et al.
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of 7
Search research articles
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Showing results (1-10 of 63) with videos related to
Sort By:
Page
of 7
Journal of the American Heart Association
|
June 28, 2018
An Algorithm Based on Deep Learning for Predicting In-Hospital Cardiac Arrest
Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, et al.
Echocardiography (Mount Kisco, N.Y.)
|
December 6, 2018
Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography
Joon-Myoung Kwon, Kyung-Hee Kim, Ki-Hyun Jeon, et al.
European Heart Journal
|
March 22, 2021
Artificial intelligence using electrocardiography: strengths and pitfalls
Joon-Myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, et al.
Acute and Critical Care
|
November 15, 2019
Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning
Youngnam Lee, Joon-Myoung Kwon, Yeha Lee, et al.
Plos One
|
October 16, 2018
Validation of deep-learning-based triage and acuity score using a large national dataset
Joon-Myoung Kwon, Youngnam Lee, Yeha Lee, et al.
Clinical and Experimental Emergency Medicine
|
November 28, 2023
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning-based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department
Tae Gun Shin, Youngjoo Lee, Kyuseok Kim, et al.
BMJ Quality & Safety
|
March 26, 2025
Under-reporting of falls in hospitals: a multisite study in South Korea
Insook Cho, Joon-Myoung Kwon, Whasuk Choe, et al.
Journal of Electrocardiology
|
March 9, 2020
Artificial intelligence for detecting mitral regurgitation using electrocardiography
Joon-Myoung Kwon, Kyung-Hee Kim, Zeynettin Akkus, et al.
Critical Care Medicine
|
September 18, 2020
Graph Convolutional Networks-Based Noisy Data Imputation in Electronic Health Record
Byeong Tak Lee, O-Yeon Kwon, Hyunho Park, et al.
European Heart Journal. Digital Health
|
May 4, 2026
Prediction of vasovagal syncope using artificial intelligence-enabled smartwatch photoplethysmography-derived heart rate variability
Hak Seung Lee, Junho Song, Moonki Jung, et al.
Page
of 7