Kim, Kyung-Hee

Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

Kwon, J., Lee, S. Y., Jeon, K., Lee, Y., Kim, K., Park, J., Oh, B., & Lee, M. (2020) · Journal of the American Heart Association

ECG Monitoring and AnalysisPhonocardiography and Auscultation Techniques

Cited by 224

Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography

Kwon, J.-M., Kim, K.-H., Medina-Inojosa, J., Jeon, K.-H., Park, J., & Oh, B.-H. (2020) · The Journal of Heart and Lung Transplantation

ECG Monitoring and AnalysisPulmonary Hypertension Research and Treatments

Cited by 108

Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction

Kwon, J.-M., Jeon, K.-H., Kim, H. M., Kim, M. J., Lim, S., Kim, K.-H., Song, P. S., Park, J., Choi, R. K., & Oh, B.-H. (2019) · PLOS ONE

Acute Myocardial Infarction ResearchArtificial Intelligence in Healthcare

Cited by 86

Artificial Intelligence Assessment for Early Detection of Heart Failure with Preserved Ejection Fraction Based on Electrocardiographic Features

Kwon, J.-M., Kim, K.-H., Eisen, H. J., Cho, Y., Jeon, K.-H., Lee, S. Y., Park, J., & Oh, B.-H. (2021) · European Heart Journal - Digital Health

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 82

Deep-Learning Model for Screening Sepsis Using Electrocardiography

Kwon, J.-M., Lee, Y. R., Jung, M.-S., Lee, Y.-J., Jo, Y.-Y., Kang, D.-Y., Lee, S. Y., Cho, Y.-H., Shin, J.-H., Ban, J.-H., et al. (2021) · Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

Sepsis Diagnosis and TreatmentECG Monitoring and Analysis

Cited by 28