- Shoulder Injury and Treatment
- COVID-19 diagnosis using AI
- Nutrition and Health in Aging
- Spine and Intervertebral Disc Pathology
- Musculoskeletal synovial abnormalities and treatments
- Spinal Fractures and Fixation Techniques
- Tendon Structure and Treatment
- Musculoskeletal pain and rehabilitation
- Shoulder and Clavicle Injuries
- Scoliosis diagnosis and treatment
- Orthopedic Surgery and Rehabilitation
- Balance, Gait, and Falls Prevention
- Radiomics and Machine Learning in Medical Imaging
- Cerebral Palsy and Movement Disorders
- Management of metastatic bone disease
- Knee injuries and reconstruction techniques
- Medical Imaging and Analysis
- Medical Imaging Techniques and Applications
- Anesthesia and Pain Management
- Non-Invasive Vital Sign Monitoring
- Machine Learning in Healthcare
- Cervical and Thoracic Myelopathy
- Osteoarthritis Treatment and Mechanisms
- Nerve Injury and Rehabilitation
- Lung Cancer Diagnosis and Treatment
Seoul Metropolitan Government
2017-2025
Seoul National University
2008-2025
Boramae Medical Center
2017-2025
Korea University
2025
Inje University Busan Paik Hospital
2024
Chosun University
2021-2022
National University College
2021
New Generation University College
2021
Seoul National University Bundang Hospital
2021
Pusan National University Hospital
2017
Purpose: To evaluate the feasibility of a three-point flanged optic piercing intrascleral fixation technique for replacing dislocated multifocal intraocular lens (IOL). Design: Retrospective cross-sectional study. Methods: In total, 13 eyes from patients with single-piece C-loop or double diffractive IOL were enrolled to undergo replacement through 120 degrees apart using 7-0 polypropylene sutures at 2.5 mm posterior limbus. Preoperative and postoperative uncorrected distance visual acuity...
To evaluate the correlation between single- and multi-slice cross-sectional thoracolumbar whole-body compositions.We retrospectively included patients who underwent PET-CT scans from January 2016 to December 2019 at multiple institutions. A priori-developed, deep learning-based commercially available 3D U-Net segmentation provided reference volumes 2D areas of muscle, visceral fat, subcutaneous fat upper, middle, lower endplate individual T1-L5 vertebrae. In derivation set, we analyzed...
Abstract Conventional severity-of-illness scoring systems have shown suboptimal performance for predicting in-intensive care unit (ICU) mortality in patients with severe pneumonia. This study aimed to develop and validate machine learning (ML) models prediction retrospective evaluated admitted the ICU pneumonia between January 2016 December 2021. The predictive was analyzed by comparing area under receiver operating characteristic curve (AU-ROC) of ML that conventional systems. Three were...
To develop and evaluate a deep learning model for automated segmentation detection of bone metastasis on spinal MRI.
In Korea, radiology has been positioned towards the early adoption of artificial intelligence-based software as medical devices (AI-SaMDs); however, little is known about current usage, implementation, and future needs AI-SaMDs. We surveyed trends expectations for AI-SaMDs among members Korean Society Radiology (KSR).
Object The purpose of this study was to compare the clinical and radiological outcomes treating L5–S1 isthmic spondylolisthesis foraminal stenosis in elderly patients with instrumented posterolateral fusion (PLF) versus percutaneous pedicle screw fixation (PSF) combined anterior lumbar interbody (ALIF). Methods Forty-nine older than 65 years age symptomatic who underwent ALIF were retrospectively analyzed. An PLF (Group A) performed 23 patients, PSF B) 26 patients. Data collected...
Radar is a promising non-contact sensor for overnight polysomnography (PSG), the gold standard diagnosing obstructive sleep apnea (OSA). This preliminary study aimed to demonstrate feasibility of automated detection apnea-hypopnea events OSA diagnosis based on 60 GHz frequency-modulated continuous-wave radar using convolutional recurrent neural networks. The dataset comprised 44 participants from an ongoing cohort, recruited July 2021 April 2022, who underwent PSG with sensor. All...
Soybean lipoxygenases (Lxs) play important roles in plant resistance and conferring the distinct bean flavor. Lxs comprise a multi-gene family that includes GmLx1, GmLx2 GmLx3, many of these genes have been characterized. We were interested investigating relationship between soybean lipoxygenase isozymes from an evolutionary perspective, since has undergone two rounds polyploidy. Here we report tetrad genome structure Lx regions produced by ancient recent Also, comparative genomics with...
The purpose of this study was to differentiate malignant compression fractures from acute osteoporotic the spine by use a Dixon MRI sequence quantify fat fraction (FF).Forty-four vertebral were assessed with turbo spin-echo T1-weighted and six-echo sequences for FF quantification at 3-T MRI. divided into (n = 24) 20). Two radiologists independently measured quantitative parameters ROIs in fractures, including T1 signal intensity fracture, ratio (fracture normal marrow FF). mean values...
Ultrasonography (US) is a useful diagnostic method that can be easily applied to identify the cause of shoulder pain. Its low cost, excellent accuracy, and capability for dynamic evaluation are also advantages. To assess all possible causes pain, it better follow standardized protocol perform comprehensive than conduct focused examination. Moreover, proper study enhance quality US, especially when pathology not revealed by static evaluation. The purpose this article review common indications...
To develop and validate deep radiomics models for the diagnosis of osteoporosis using hip radiographs.A model was developed 4924 radiographs from 4308 patients (3632 women; mean age, 62 years ± 13 [SD]) obtained between September 2009 April 2020. Ten features, 16 texture three clinical features were used to train model. T score measured with dual-energy x-ray absorptiometry as a reference standard osteoporosis. Seven that combined different types developed: (model C); T); D); TC); DC); DT);...
An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19.We aimed to develop and validate a prediction CXR based on an AI clinical variables predict outcomes patients with COVID-19.This retrospective longitudinal study included hospitalized COVID-19 at multiple medical centers between February 2020 October 2020. Patients Boramae Medical Center were randomly classified into training, validation, internal testing sets (at...
Spinal sarcopenia is a multifactorial disorder associated with atrophy and fatty changes in paraspinal muscles. Interventional studies for spinal are limited. We aimed to evaluate the effectiveness of combined exercise nutrition intervention treatment sarcopenia.35 community-dwelling older women diagnosed previous cohort study were included. The 12-week consisted back extensor strengthening exercises protein supplementation. following outcomes measured at baseline (week 0), after 12),...
Background Spinal sarcopenia is receiving renewed attention as a cause of spinal sagittal imbalance. However, the relationships between and balance (SSB) have not been thoroughly investigated. We evaluated SSB parameters sarcopenic indices with lumbar paraspinal muscle (LPM) quantity strength in healthy older adults. Methods Twenty-four community-dwelling women were enrolled. Demographic variables, conventional indices, isometric back strength, parameters, well results functional...
Introduction Sarcopenia in the lumbar paraspinal muscles is receiving renewed attention as a cause of spinal degeneration. However, there are few studies on precise concept and diagnostic criteria for sarcopenia. Here, we develop sarcopenia community-dwelling older adults. In addition, aim to observe natural ageing process back muscle strength investigate association between conventional sarcopenic indices Methods analysis This prospective observational cohort study with 120 healthy adults...
As the number of spinal surgeries being performed expands, medical imaging procedures such as radiography, CT, and MRI is also increasing, importance their interpretation becoming more significant. Herein, we present radiological findings a variety complications that can occur after surgery discuss how effectively accurately they be diagnosed through imaging. In particular, this study details characteristic specific to early long-term postoperative periods. Early include improper placement...
Objectives To assess the diagnostic accuracy of Superb Microvascular Imaging (SMI; Canon Medical Systems, Otawara, Japan) at subcoracoid triangle for adhesive capsulitis shoulder, to compare value SMI with that conventional ultrasound (US) and power Doppler (PDUS) findings, investigate correlation between vascular flow on clinical features. Methods Our study included 39 patients a diagnosis 35 healthy as control group. The echogenicity in rotator interval coracohumeral ligament thickness...