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Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data

Ryu KJ, Yi KW, Kim YJ, Shin JH, Hur JY, Kim T, Seo JB, Lee KS, Park H

Background: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning. Methods: Data on 3,298 women, aged 40–80 years, who attended their general health check-up from January 2010...
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Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias

Hwang HJ, Seo JB, Lee SM, Kim EY, Park B, Bae HJ, Kim N

Objective: To assess the performance of content-based image retrieval (CBIR) of chest CT for diffuse interstitial lung disease (DILD). Materials and Methods: The database was comprised by 246 pairs of chest...
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Visual and Quantitative Assessments of Regional Xenon-Ventilation Using Dual-Energy CT in Asthma-ChronicObstructive Pulmonary Disease Overlap Syndrome:A Comparison with Chronic Obstructive PulmonaryDisease

Hwang HJ, Lee SM, Seo JB, Lee JS, Kim N, Lee SW, Oh YM

Objective: To assess the regional ventilation in patients with asthma-chronic obstructive pulmonary disease (COPD) overlapsyndrome (ACOS) using xenon-ventilation dual-energy CT (DECT), and to compare it to that in patients with...
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Quantitative Vertebral Bone Density Seen on Chest CT in Chronic Obstructive Pulmonary Disease Patients: Association with Mortality in the Korean Obstructive Lung Disease Cohort

Hwang HJ, Lee SM, Seo JB, Kim JE, Choi HY, Kim N, Lee JS, Lee SW, Oh YM

Objective: Patients with chronic obstructive pulmonary disease (COPD) are known to be at risk of osteoporosis. The purpose of this study was to evaluate the association between thoracic vertebral bone...
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Erratum: Correction of Author Name and Affiliation in the Article “Artificial Intelligence in Health Care: Current Applications and Issues”

Park CW, Seo SW, Kang N, Ko B, Choi BW, Park CM, Chang DK, Kim H, Kim H, Lee H, Jang J, Ye JC, Jeon JH, Seo JB, Kim KJ, Jung KH, Kim N, Paek S, Shin SY, Yoo S, Choi YS, Kim Y, Yoon HJ

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Artificial Intelligence in Health Care: Current Applications and Issues

Park CW, Seo SW, Kang N, Ko BS, Choi BW, Park CM, Chang DK, Kim H, Kim Hc, Lee Hn, Jang Jh, Ye JC, Jeon JH, Seo JB, Kim KJ, Jung KH, Kim N, Paek Sw, Shin SY, Yoo Sy, Choi YS, Kim Y, Yoon HJ

In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being...
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Clinical Utility of Quantitative CT Analysis for Fissure Completeness in Bronchoscopic Lung Volume Reduction: Comparison between CT and Chartisâ„¢

Lee SW, Shin SY, Park TS, Choi YY, Park JC, Park J, Oh SY, Kim N, Lee SH, Lee JS, Seo JB, Oh YM, Lee SD, Lee SM

OBJECTIVE: The absence of collateral ventilation (CV) is crucial for effective bronchoscopic lung volume reduction (BLVR) with an endobronchial valve. Here, we assessed whether CT can predict the Chartisâ„¢ results. MATERIALS...
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CT Evaluation for Clinical Lung Cancer Staging: Do Multiplanar Measurements Better Reflect Pathologic T-Stage than Axial Measurements?

Park S, Lee SM, Choe J, Lee JG, Lee SM, Do KH, Seo JB

OBJECTIVE: To retrospectively investigate whether tumor size assessment on multiplanar reconstruction (MPR) CT images better reflects pathologic T-stage than evaluation on axial images and evaluate the additional value of measurement...
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Utility of Computed Tomography in a Differential Diagnosis for the Patients with an Initial Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Park HJ, Kim SH, Kim HC, Lee BY, Lee SW, Lee JS, Lee SD, Seo JB, Oh YM

BACKGROUND: The utility of computed tomography (CT) in the differential diagnosis of patients with chronic obstructive pulmonary disease (COPD) exacerbation remains uncertain. However, due to the low cost associated with...
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Clinical Factors Associated with Obstructive Coronary Artery Disease in Patients with Out-of-Hospital Cardiac Arrest: Data from the Korean Cardiac Arrest Research Consortium (KoCARC) Registry

Park J, Shin J, Kim HL, Song KJ, Jung JH, Lee HJ, You KM, Lim WH, Seo JB, Kim SH, Zo JH, Kim MA, on behalf of Korean Cardiac Arrest Research Consortium (KoCARC) Investigators

BACKGROUND: Although coronary artery disease (CAD) is a major cause of out-of-hospital cardiac arrest (OHCA), there has been no convinced data on the necessity of routine invasive coronary angiography (ICA)...
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Gender difference in the association between brachial-ankle pulse wave velocity and cardiovascular risk scores

Rhee TM, Kim HL, Oh S, Lim WH, Seo JB, Chung WY, Kim SH, Kim MA, Zo JH

BACKGROUND/AIMS: Although brachial-ankle pulse wave velocity (baPWV) has been validated as a novel method to predict the cardiovascular risk in general population, the relevance of baPWV to the traditional risk...
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Prediction of Pulmonary Function in Patients with Chronic Obstructive Pulmonary Disease: Correlation with Quantitative CT Parameters

Koo HJ, Lee SM, Seo JB, Lee SM, Kim N, Oh SY, Lee JS, Oh YM

OBJECTIVE: We aimed to evaluate correlations between computed tomography (CT) parameters and pulmonary function test (PFT) parameters according to disease severity in patients with chronic obstructive pulmonary disease (COPD), and...
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A Review of Three-Dimensional Printing Technology for Medical Applications

Lee S, Kim T, Hong D, Ock J, Kwon J, Gwon E, Kwon J, Seo JB, Chae EJ, Yang DH, Kim CS, Kyung YS, Ko BS, Choi S, Sa HS, Kim N

Three-dimensional (3D) printing technology, with additive manufacturing, can aid in the production of various kinds of patient-specific medical devices and implants in medical fields, which cannot be covered by mass...
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The Role of medical doctor in the era of artificial intelligence

Seo JB

Recent advances in new technologies such as artificial intelligence, big data, and virtual reality have led to significant innovations in various industries. Artificial intelligence, particularly in applications using deep learning...
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Prediction of Treatment Response in Patients with Chronic Obstructive Pulmonary Disease by Determination of Airway Dimensions with Baseline Computed Tomography

Park HJ, Lee SM, Choe J, Lee SM, Kim N, Lee JS, Oh YM, Seo JB

OBJECTIVE: To determine the predictive factors for treatment responsiveness in patients with chronic obstructive pulmonary disease (COPD) at 1-year follow-up by performing quantitative analyses of baseline CT scans. MATERIALS AND METHODS:...
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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network

Lee SM, Lee JG, Lee G, Choe J, Do KH, Kim N, Seo JB

OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction...
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Gemigliptin Attenuates Renal Fibrosis Through Down-Regulation of the NLRP3 Inflammasome

Seo JB, Choi YK, Woo HI, Jung YA, Lee S, Lee S, Park M, Lee IK, Jung GS, Park KG

BACKGROUND: The hypoglycemic drugs dipeptidyl peptidase-4 (DPP-4) inhibitors have proven protective effects on diabetic kidney disease, including renal fibrosis. Although NOD-like receptor protein 3 (NLRP3) inflammasome activation is known to...
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Low-Normal Free Thyroxine Levels in Euthyroid Male Are Associated with Prediabetes

Kim SW, Jeon JH, Moon JS, Jeon EJ, Kim MK, Lee IK, Seo JB, Park KG

Abnormal thyroid function is associated with impaired glucose homeostasis. This study aimed to determine whether free thyroxine (FT4) influences the prevalence of prediabetes in euthyroid subjects using a cross-sectional survey...
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The Prevention of Contrast Induced Nephropathy by Sarpogrelate: a Prospective Randomized Controlled Clinical Trial

Ki YJ, Kwon SA, Kim HL, Seo JB, Chung WY

BACKGROUND: Although some strategies are used for prophylaxis of contrast induced nephropathy, their efficacy is not fully established. Sarpogrelate can relieve vasospasm and have anti-inflammatory action. This study examined whether...
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Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer

Park S, Lee SM, Do KH, Lee JG, Bae W, Park H, Jung KH, Seo JB

OBJECTIVE: To retrospectively assess the effect of CT slice thickness on the reproducibility of radiomic features (RFs) of lung cancer, and to investigate whether convolutional neural network (CNN)-based super-resolution (SR)...
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