A5053458058- COVID-19 diagnosis using AI
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Ultrasound in Clinical Applications
- Coronary Interventions and Diagnostics
- Esophageal and GI Pathology
- Vibrio bacteria research studies
- Advanced X-ray and CT Imaging
- Acute Myocardial Infarction Research
- Medical Imaging Techniques and Applications
- COVID-19 Clinical Research Studies
- Pancreatic and Hepatic Oncology Research
- Pneumonia and Respiratory Infections
- Streptococcal Infections and Treatments
- Advanced MRI Techniques and Applications
- Sepsis Diagnosis and Treatment
- Chronic Obstructive Pulmonary Disease (COPD) Research
- COVID-19 and healthcare impacts
- Atomic and Subatomic Physics Research
- Gallbladder and Bile Duct Disorders
Dankook University Hospital
2015-2024
University of Ulsan
2018
Asan Medical Center
2018
Ulsan College
2018
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...
The Korean Society of Thoracic Radiology (KSTR) recently constructed a nation-wide coronavirus disease 2019 (COVID-19) database and imaging repository, referred to the cohort COVID-19 (KICC-19) based on collaborative efforts its members. purpose this study was provide summary clinico-epidemiological data KICC-19.
To identify reliable CT features and assess the diagnostic performance of 64-multidetector (MDCT) in diagnosing non-traumatic gastroduodenal perforation (GDP).We retrospectively reviewed 136 scans patients with surgically proven gastrointestinal during 7 years. 92 had GDP 44 other sites perforation. were evaluated sensitivity, specificity likelihood ratios each feature estimated.The cause was peptic ulcer 90 patients, gastric cancer one patient, foreign body duodenal diverticulum patient....
Raoultella planticola, considered to be an environmental organism, is a rare cause of human infections. Although in recent years the frequency R. planticola infections reported literature has increased, few cases pneumonia caused by have been described. Here, we investigate clinical characteristics, management, and outcomes planticola.Consecutive patients with were included. The medical records treated at Dankook University Hospital from January 2011 December 2017 collected.A total 11 adult...
<title>Abstract</title> Automatic pre-screening of pre-existing stents, whose prognostic value remains uncertain, could potentially reduce workload and enhance efficiency. However, such a solution has not yet been developed validated. We aimed to develop evaluate deep learning-based coronary stent filtering algorithm (Stent_filter) in CAC scoring CT scans using multicenter dataset. Stent_filter comprising two main processes: identification false-positive reduction. Development utilized 108...
Coronary artery calcium (CAC) scoring CT is a useful tool for screening coronary disease and cardiovascular risk stratification. However, its efficacy in patients with stents, who had pre-existing disease, remains uncertain. Historically, CAC scans of these have been manually excluded from the process, even though most process now fully automated. Therefore, we hypothesized that automating filtering stents using artificial intelligence could streamline entire workflow, eliminating need...
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<sec> <title>BACKGROUND</title> An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. </sec> <title>OBJECTIVE</title> We aimed to develop and validate a prediction CXR based on an AI clinical variables predict outcomes patients with <title>METHODS</title> This retrospective longitudinal study included hospitalized COVID-19 at multiple medical centers between February 2020 October 2020. Patients Boramae Medical...