Dabee Lee
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View article: Automatic identification of coronary stent in coronary calcium scoring CT using deep learning
Automatic identification of coronary stent in coronary calcium scoring CT using deep learning Open
Coronary artery calcium (CAC) scoring CT is a useful tool for screening coronary artery disease and for cardiovascular risk stratification. However, its efficacy in patients with coronary stents, who had pre-existing coronary artery diseas…
View article: Automatic Identification of Coronary Stent in Coronary Calcium Scoring CT using Deep Learning
Automatic Identification of Coronary Stent in Coronary Calcium Scoring CT using Deep Learning Open
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 and validated. We aimed to develop and …
View article: Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Open
[This corrects the article DOI: 10.2196/42717.].
View article: Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (Preprint)
Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (Preprint) Open
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View article: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Open
Background An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. Objective We aimed to develop and validate a prediction model using CXR based on an AI model and …
View article: Erratum: Correction of Affiliations in the Article “Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019”
Erratum: Correction of Affiliations in the Article “Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019” Open
This corrects the article on p. e413 in vol. 35, PMID: 33258333.
View article: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (Preprint)
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (Preprint) Open
BACKGROUND An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. OBJECTIVE We aimed to develop and validate a prediction model using CXR based on an AI model a…
View article: Clinical characteristics and treatment outcomes of patients with pneumonia caused by Raoultella planticola
Clinical characteristics and treatment outcomes of patients with pneumonia caused by Raoultella planticola Open
R. planticola pneumonia occurred mainly in patients with underlying risk factors such as malignant disease, cerebral infarction or hemorrhage, and chronic obstructive pulmonary disease. The organism was sensitive to most antibiotics, and t…
View article: Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019
Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019 Open
The KICC-19 was successfully established and comprised of 658 CT scans and 1,475 chest radiographs of 522 hospitalized Korean COVID-19 patients. The KICC-19 will provide a more comprehensive understanding of the clinical, epidemiological, …