A5052788912- Chronic Obstructive Pulmonary Disease (COPD) Research
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Inhalation and Respiratory Drug Delivery
- Retinal Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Glaucoma and retinal disorders
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Digital Imaging for Blood Diseases
- Sinusitis and nasal conditions
- Retinal Diseases and Treatments
- Data-Driven Disease Surveillance
- Medical Imaging Techniques and Applications
- Head and Neck Surgical Oncology
- Dental Radiography and Imaging
- Anomaly Detection Techniques and Applications
Samsung Medical Center
2021-2023
Sungkyunkwan University
2023
Kyungpook National University
2019-2020
The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) a cost-effective manner, making screening more accessible. While AI models for from CFPs have shown promising results laboratory settings, their performance decreases significantly real-world scenarios due the presence out-of-distribution and low-quality images. To address this issue, we propose Intelligence Robust Glaucoma...
Background This study aims to develop artificial intelligence (AI) system automatically classify patients with maxillary sinus fungal ball (MFB), chronic rhinosinusitis (CRS), and healthy controls (HCs). Methods We collected 512 coronal image sets from ostiomeatal unit computed tomography (OMU CT) performed on subjects who visited a single tertiary hospital. These data included 254 MFB, 128 CRS, 130 HC were used for training the proposed AI system. The takes these 1024 of half CT images as...
Considering the different prevalence rates of diseases such as asthma and chronic obstructive pulmonary disease in Asians relative to other races, Koreans may have unique airway structure lung function. This study aimed investigate features function based on quantitative computed tomography (QCT)-imaging metrics Korean Asian population (Koreans) compared with White American (Whites).
Abstract Background Dust exposure has been reported as a risk factor of pulmonary disease, leading to alterations segmental airways and parenchymal lungs. This study aims investigate quantitative computed tomography (QCT)-based airway structural functional metrics due cement-dust exposure. Methods To reduce confounding factors, subjects with normal spirometry without fibrosis, asthma pneumonia histories were only selected, propensity score matching was applied match age, sex, height, smoking...
The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) a cost-effective manner, making screening more accessible. While AI models for from CFPs have shown promising results laboratory settings, their performance decreases significantly real-world scenarios due the presence out-of-distribution and low-quality images. To address this issue, we propose Intelligence Robust Glaucoma...
Given its low dose and compactness, chest radiography has been widely used as the first-line test to determine presence of lung anomalies. Nevertheless, a high-performance diagnosis for initial screening detect shadows in lungs due general diseases is not available. During screening, can be distinguish any diseased shadowing caused by diseases. Thus, contribute early prevention novel infectious if training specific disease required. Accordingly, we propose deep-learning-based diagnostic...
Abstract Background Dust exposure has been reported as a risk factor of pulmonary disease, leading to alterations segmental airways and parenchymal lungs. This study aims investigate quantitative computed tomography (QCT)-based airway structural functional metrics due cement-dust exposure.Methods To reduce confounding factors, subjects with normal spirometry without asthma pneumonia histories were only selected, propensity score matching was applied match age, sex, height, smoking status....
Abstract Background: Dust exposure has been reported as a risk factor of pulmonary disease, leading to alterations segmental airways and parenchymal lungs. This study aims investigate quantitative computed tomography (QCT)-based airway structural functional metrics due cement-dust exposure. Methods: To reduce confounding factors, subjects with normal spirometry without fibrosis, asthma pneumonia histories were only selected, propensity score matching was applied match age, sex, height,...