Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Joonghee Kim"'
Autor:
Youngjin Cho, Minjae Yoon, Joonghee Kim, Ji Hyun Lee, Il-Young Oh, Chan Joo Lee, Seok-Min Kang, Dong-Ju Choi
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e52139 (2024)
BackgroundAlthough several biomarkers exist for patients with heart failure (HF), their use in routine clinical practice is often constrained by high costs and limited availability. ObjectiveWe examined the utility of an artificial intelligence (AI)
Externí odkaz:
https://doaj.org/article/05f8310c9482482c8560807428a743d5
Autor:
Yoo Jin Choi, Min Ji Park, Youngjin Cho, Joonghee Kim, Eunkyoung Lee, Dahyeon Son, Seo-Yoon Kim, Moon Seung Soh
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 16, p 4792 (2024)
Background: Acute pulmonary embolism (PE) is a critical condition where the timely and accurate assessment of right ventricular (RV) dysfunction is important for patient management. Given the limited availability of echocardiography in emergency depa
Externí odkaz:
https://doaj.org/article/ed949411509343e6910bfc462952839f
Autor:
Min Ji Park, Yoo Jin Choi, Moonki Shim, Youngjin Cho, Jiesuck Park, Jina Choi, Joonghee Kim, Eunkyoung Lee, Seo-Yoon Kim
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 5, p 1354 (2024)
Acute coronary syndrome is a significant part of cardiac etiology contributing to out-of-hospital cardiac arrest (OHCA), and immediate coronary angiography has been proposed to improve survival. This study evaluated the effectiveness of an AI algorit
Externí odkaz:
https://doaj.org/article/e3d5ae07b8164edc9adb0802bb196f3a
Publikováno v:
JMIR Cardio, Vol 7, p e44791 (2023)
BackgroundDespite accumulating research on artificial intelligence–based electrocardiography (ECG) algorithms for predicting acute coronary syndrome (ACS), their application in stable angina is not well evaluated. ObjectiveWe evaluated the utility
Externí odkaz:
https://doaj.org/article/2129e8e3e9c74899ab3926adb77343a7
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract It is well established that the risk of acute coronary syndrome (ACS) increases after respiratory infection. However, the reverse association has not been evaluated. We tested the hypothesis that the long-term risk of pneumonia is increased
Externí odkaz:
https://doaj.org/article/9026bfcb576c4a36942d8cde2bdd91ae
Risk of injury after emergency department visit for acute peripheral vertigo: a matched-cohort study
Publikováno v:
Clinical and Experimental Emergency Medicine, Vol 7, Iss 3, Pp 176-182 (2020)
Objective Peripheral vertigo is one of the most common causes of the emergency department (ED) visits. It can impair balance and might predispose patients to injuries after discharge. The purpose of this study was to determine whether peripheral vert
Externí odkaz:
https://doaj.org/article/39061cfd7f2a4ec19742d0237161ca60
Autor:
Han-Gil Jeong, Beom Joon Kim, Tackeun Kim, Jihoon Kang, Jun Yup Kim, Joonghee Kim, Joon-Tae Kim, Jong-Moo Park, Jae Guk Kim, Jeong-Ho Hong, Kyung Bok Lee, Tai Hwan Park, Dae-Hyun Kim, Chang Wan Oh, Moon-Ku Han, Hee-Joon Bae
Publikováno v:
EBioMedicine, Vol 69, Iss , Pp 103466- (2021)
Background: Although chest radiographs have not been utilised well for classifying stroke subtypes, they could provide a plethora of information on cardioembolic stroke.This study aimed to develop a deep convolutional neural network that could diagno
Externí odkaz:
https://doaj.org/article/8890ef39cfc94d43af6c43cded0e95f5
Publikováno v:
Clinical and Experimental Emergency Medicine, Vol 6, Iss 1, Pp 49-63 (2019)
Objective To investigate the epidemiology of sepsis in Korea and identify risk factors for death in sepsis. Methods We conducted a longitudinal, population-based epidemiological study of sepsis in Korea from 2005 to 2012 using the National Health Ins
Externí odkaz:
https://doaj.org/article/88add968ff7e45a8a2923853ed921976
Autor:
Tackeun Kim, Jaehyuk Heo, Dong-Kyu Jang, Leonard Sunwoo, Joonghee Kim, Kyong Joon Lee, Si-Hyuck Kang, Sang Jun Park, O-Ki Kwon, Chang Wan Oh
Publikováno v:
EBioMedicine, Vol 40, Iss , Pp 636-642 (2019)
Background: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,
Externí odkaz:
https://doaj.org/article/029a45edecf64bd6ade84bba35a93523
Publikováno v:
Emergency Medicine International, Vol 2020 (2020)
Background. The benefit of prehospital epinephrine in out-of-hospital cardiac arrest (OHCA) was shown in a recent large placebo-controlled trial. However, placebo-controlled studies cannot identify the nonpharmacologic influences on concurrent or dow
Externí odkaz:
https://doaj.org/article/8865e9645413443d84bf4f3e7726d55c