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Yong-Yeon Jo

Showing results (1-10 of 25) with videos related to

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Journal of Educational Evaluation for Health Professions|January 28, 2015
What is needed to increase the professional competencies of the military emergency medical technicians of the Republic of Korea Air Force?Yong Yeon Jo, Se Jin Hwang, Kun Hwang
European Heart Journal|March 22, 2021
Artificial intelligence using electrocardiography: strengths and pitfallsJoon-Myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, et al.
European Heart Journal. Digital Health|May 4, 2026
Prediction of vasovagal syncope using artificial intelligence-enabled smartwatch photoplethysmography-derived heart rate variabilityHak Seung Lee, Junho Song, Moonki Jung, et al.
International Journal of Cardiology|February 5, 2022
An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum periodYeji Lee, Byungjin Choi, Min Sung Lee, et al.
Scientific Reports|July 2, 2025
A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX)Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, et al.
JACC. Basic to Translational Science|March 26, 2025
AI-Enabled Smartwatch ECG: A Feasibility Study for Early Prediction and Prevention of Heart Failure RehospitalizationHak Seung Lee, Sora Kang, Yong-Yeon Jo, et al.
Diagnostics (Basel, Switzerland)|March 25, 2022
Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECGJoon-Myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, et al.
Plos One|August 9, 2022
Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective studyYong-Yeon Jo, Jong-Hwan Jang, Joon-Myoung Kwon, et al.
JMIR Medical Informatics|February 22, 2021
Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional StudyYong-Yeon Jo, JaiHong Han, Hyun Woo Park, et al.
International Journal of Cardiology|December 3, 2020
Explainable artificial intelligence to detect atrial fibrillation using electrocardiogramYong-Yeon Jo, Younghoon Cho, Soo Youn Lee, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Journal of Educational Evaluation for Health Professions|January 28, 2015
What is needed to increase the professional competencies of the military emergency medical technicians of the Republic of Korea Air Force?Yong Yeon Jo, Se Jin Hwang, Kun Hwang
European Heart Journal|March 22, 2021
Artificial intelligence using electrocardiography: strengths and pitfallsJoon-Myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, et al.
European Heart Journal. Digital Health|May 4, 2026
Prediction of vasovagal syncope using artificial intelligence-enabled smartwatch photoplethysmography-derived heart rate variabilityHak Seung Lee, Junho Song, Moonki Jung, et al.
International Journal of Cardiology|February 5, 2022
An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum periodYeji Lee, Byungjin Choi, Min Sung Lee, et al.
Scientific Reports|July 2, 2025
A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX)Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, et al.
JACC. Basic to Translational Science|March 26, 2025
AI-Enabled Smartwatch ECG: A Feasibility Study for Early Prediction and Prevention of Heart Failure RehospitalizationHak Seung Lee, Sora Kang, Yong-Yeon Jo, et al.
Diagnostics (Basel, Switzerland)|March 25, 2022
Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECGJoon-Myoung Kwon, Yong-Yeon Jo, Soo Youn Lee, et al.
Plos One|August 9, 2022
Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective studyYong-Yeon Jo, Jong-Hwan Jang, Joon-Myoung Kwon, et al.
JMIR Medical Informatics|February 22, 2021
Prediction of Prolonged Length of Hospital Stay After Cancer Surgery Using Machine Learning on Electronic Health Records: Retrospective Cross-sectional StudyYong-Yeon Jo, JaiHong Han, Hyun Woo Park, et al.
International Journal of Cardiology|December 3, 2020
Explainable artificial intelligence to detect atrial fibrillation using electrocardiogramYong-Yeon Jo, Younghoon Cho, Soo Youn Lee, et al.
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