| An algorithm based on deep learning for predicting in‐hospital cardiac arrest J Kwon, Y Lee, Y Lee, S Lee, J Park Journal of the American Heart Association 7 (13), e008678, 2018 | 287 | 2018 |
| Deep learning–based algorithm for detecting aortic stenosis using electrocardiography JM Kwon, SY Lee, KH Jeon, Y Lee, KH Kim, J Park, BH Oh, MM Lee Journal of the American Heart Association 9 (7), e014717, 2020 | 187 | 2020 |
| Artificial intelligence algorithm for predicting mortality of patients with acute heart failure J Kwon, KH Kim, KH Jeon, SE Lee, HY Lee, HJ Cho, JO Choi, ES Jeon, ... PloS one 14 (7), e0219302, 2019 | 164 | 2019 |
| Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services DY Kang, KJ Cho, O Kwon, J Kwon, KH Jeon, H Park, Y Lee, J Park, ... Scandinavian journal of trauma, resuscitation and emergency medicine 28, 1-8, 2020 | 118 | 2020 |
| Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography Y Cho, J Kwon, KH Kim, JR Medina-Inojosa, KH Jeon, S Cho, SY Lee, ... Scientific reports 10 (1), 20495, 2020 | 115 | 2020 |
| Development and validation of deep-learning algorithm for electrocardiography-based heart failure identification J Kwon, KH Kim, KH Jeon, HM Kim, MJ Kim, SM Lim, PS Song, J Park, ... Korean circulation journal 49 (7), 629-639, 2019 | 114 | 2019 |
| Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram YY Jo, Y Cho, SY Lee, J Kwon, KH Kim, KH Jeon, S Cho, J Park, BH Oh International journal of cardiology 328, 104-110, 2021 | 107 | 2021 |
| A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study J Kwon, Y Cho, KH Jeon, S Cho, KH Kim, SD Baek, S Jeung, J Park, ... The Lancet Digital Health 2 (7), e358-e367, 2020 | 106 | 2020 |
| Deep learning for predicting in‐hospital mortality among heart disease patients based on echocardiography J Kwon, KH Kim, KH Jeon, J Park Echocardiography 36 (2), 213-218, 2019 | 101 | 2019 |
| Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography JM Kwon, KH Jeon, HM Kim, MJ Kim, SM Lim, KH Kim, PS Song, J Park, ... EP Europace 22 (3), 412-419, 2020 | 98 | 2020 |
| Validation of deep-learning-based triage and acuity score using a large national dataset J Kwon, Y Lee, Y Lee, S Lee, H Park, J Park PLOS ONE, 2018 | 91 | 2018 |
| Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes J Kwon, KH Jeon, HM Kim, MJ Kim, S Lim, KH Kim, PS Song, J Park, ... Resuscitation 139, 84-91, 2019 | 86 | 2019 |
| Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography J Kwon, KH Kim, J Medina-Inojosa, KH Jeon, J Park, BH Oh The Journal of Heart and Lung Transplantation 39 (8), 805-814, 2020 | 83 | 2020 |
| Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction J Kwon, KH Jeon, HM Kim, MJ Kim, S Lim, KH Kim, PS Song, J Park, ... PloS one 14 (10), e0224502, 2019 | 80 | 2019 |
| Detecting patient deterioration using artificial intelligence in a rapid response system KJ Cho, O Kwon, J Kwon, Y Lee, H Park, KH Jeon, KH Kim, J Park, BH Oh Critical care medicine 48 (4), e285-e289, 2020 | 78 | 2020 |
| Artificial intelligence algorithm for screening heart failure with reduced ejection fraction using electrocardiography J Cho, BT Lee, JM Kwon, Y Lee, H Park, BH Oh, KH Jeon, J Park, KH Kim ASAIO Journal 67 (3), 314-321, 2021 | 71 | 2021 |
| Artificial intelligence for detecting mitral regurgitation using electrocardiography J Kwon, KH Kim, Z Akkus, KH Jeon, J Park, BH Oh Journal of electrocardiology 59, 151-157, 2020 | 70 | 2020 |
| Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography J Kwon, KH Kim, KH Jeon, SY Lee, J Park, BH Oh Scandinavian journal of trauma, resuscitation and emergency medicine 28, 1-10, 2020 | 69 | 2020 |
| Artificial intelligence for detecting electrolyte imbalance using electrocardiography J Kwon, MS Jung, KH Kim, YY Jo, JH Shin, YH Cho, YJ Lee, JH Ban, ... Annals of Noninvasive Electrocardiology 26 (3), e12839, 2021 | 52 | 2021 |
| Lead-agnostic self-supervised learning for local and global representations of electrocardiogram J Oh, H Chung, J Kwon, D Hong, E Choi Conference on Health, Inference, and Learning, 338-353, 2022 | 46 | 2022 |
Kyung-Hee KimIncheon Sejong HospitalAdresse e-mail validée de sejongh.co.kr
