Coronavirus Disease (COVID-19): The Value of Chest Radiography for Patients Greater Than Age 50 Years at an Earlier Timepoint of Symptoms Compared With Younger PatientsOriginal Research Published on 2021-01-012022-10-28 Journal: The Ochsner Journal [Category] COVID-19, [키워드] Chest radiography COVID-19 diagnostic imaging pneumonia x-rays age assigned Atypical blinded change characteristic Chest radiography Cohort Computed tomography Consensus coronavirus disease COVID-19 COVID-19 diagnosis COVID-19 in patient COVID-19 outbreak COVID-19 positive patient CXR demonstrated Diagnosis early diagnosis Fisher exact test Infection less Older onset of symptom p value Patient paucity of data performed polymerase chain Radiography Radiologists resulting Retrospective study reverse transcription RT-PCR statistically significant symptom onset Symptoms value Year younger patients [DOI] 10.31486/toj.20.0102 PMC 바로가기 [Article Type] Original Research
Online Liver Imaging Course; Pivoting to Transform Radiology Education During the SARS-CoV-2 PandemicArticle Published on 2021-01-012023-07-05 Journal: Academic radiology [Category] SARS, [키워드] COVID-19 e-learning education liver imaging pandemic Radiologists Residency Teaching virtual learning. [DOI] 10.1016/j.acra.2020.10.001 PMC 바로가기
The role of CT chest in screening for asymptomatic COVID-19 infection in self-isolating patients prior to elective oncological surgery: findings from a UK Cancer Hub선택적 종양 수술 전에 자가 격리 환자에서 무증상 COVID-19 감염 선별에서 CT 흉부의 역할: UK Cancer Hub의 결과Full Paper Published on 2021-01-012022-09-12 Journal: The British Journal of Radiology [Category] 진단, [키워드] abdominal surgery addition advance Asymptomatic Asymptomatic COVID-19 Cancer Chain Reaction Chest clinical assessment college Complication Confirmed COVID-19 infection correlated COVID-19 COVID-19 infection CT chest effective evaluated exclusion False positive False positives Guidance imaging Infection initial nine outcomes pandemic Patient Patient record patient records performed polymerase chain polymerase chain reaction positive Prevalence Probability proportion Radiologists reported reverse transcriptase Reverse transcriptase polymerase chain reaction RT-PCR screened Screening second wave Self-isolation Society surgery surgical Surgical risk Thoracic transcriptase utility without symptom [DOI] 10.1259/bjr.20200994 PMC 바로가기 [Article Type] Full Paper
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks흉부 X선 영상에서 보편적인 적대 공격에 이르기까지 코로나19 사례를 탐지하기 위한 심층 신경망의 취약성Research Article Published on 2020-12-172022-09-10 Journal: PLoS ONE [Category] MERS, SARS, 진단, 치료기술, 치료제, [키워드] assigned attack attacks average chest X-ray Chest X-ray image Chest X-ray images Computed tomography coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 case COVID-19 cases COVID-19 diagnosis COVID-19 patients dataset detect evaluate evaluated example focus form Image IMPROVE induce input iterative Novel coronavirus novel coronavirus disease open Radiologists required resulting robustness the epidemic vulnerability X-ray computed tomography [DOI] 10.1371/journal.pone.0243963 PMC 바로가기 [Article Type] Research Article
Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays흉부 엑스레이에서 COVID-19를 감지하기 위한 CNN 전이 학습 배포와 관련된 문제Article Published on 2020-12-012022-09-11 Journal: Physical and engineering sciences in medicine [Category] SARS, 치료기술, [키워드] Accuracy Activation Algorithm Analysis applicability can be used chest X-ray Chest X-ray image Chest X-ray images chest X-rays class Class activation maps clinician CNN CNNs confirmed case confirmed cases contributed Convolutional neural network Convolutional neural networks coronavirus COVID-19 Critical database deaths decision deep deep learning deep learning. detect diagnostic highlight issue lead machine Machine learning algorithms mechanism occurred performed radiologist Radiologists replicate scratch Support technique transfer virus spread Wuhan Wuhan, China X-ray [DOI] 10.1007/s13246-020-00934-8 PMC 바로가기 [Article Type] Article
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection휴대용 흉부 엑스레이의 질감 특징에 대한 기계 학습 분류는 COVID-19 폐 감염을 정확하게 분류합니다Research Published on 2020-11-252022-09-01 Journal: BioMedical Engineering OnLine [Category] 진단, [키워드] Accuracy Algorithm Analysis analyzed AUC Bacterial bacterial pneumonia characteristic chest X-ray chest X-rays classification conditions COVID-19 COVID-19 pandemic CXR dataset datasets diagnostic Efficiency feature Feature extraction groups help IMPROVE Lung infection machine learning machine-learning material Morphological morphological feature morphological features Non-COVID-19 other conditions Patient performance performed Physicians Pneumonia Public radiologist Radiologists Result ROC Sensitivity and specificity statistical analysis T Test Texture two-tailed Viral Viral pneumonia Volume was done were used [DOI] 10.1186/s12938-020-00831-x PMC 바로가기 [Article Type] Research
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective studyCOVID-19 환자 분류에 도움이 되는 흉부 방사선 사진 해석을 위한 딥 러닝 알고리즘: 다기관 후향적 연구Multicenter Study Published on 2020-11-242022-09-10 Journal: PLoS ONE [Category] MERS, SARS, 진단, 치료기술, [키워드] Accuracy Adult patients Algorithm all the patients Chain Reaction Chest Chest computed tomography chest CT scan Chest CT scans Chest radiography Clinical efficacy clinician Community comparable Computed tomography consolidation coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 pandemic COVID-19 patients COVID-19 pneumonia demonstrated diagnose diagnosed Diagnosis diagnostic Efficacy Emergency Departments evaluate evaluated Evidence evidence of facilitate FIVE Formal ground-glass opacity infiltration Interpretation Isolation medical staff multicenter offer outcomes Patient physician Pneumonia polymerase chain polymerase chain reaction positive positive COVID-19 radiologist Radiologists reduce Retrospective study reverse transcription reverse transcription polymerase chain reaction Sensitivity and specificity significantly speed the patient Treatment were used [DOI] 10.1371/journal.pone.0242759 PMC 바로가기 [Article Type] Multicenter Study
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency DepartmentsComputational and Artificial Intelligence Published on 2020-10-262022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] abnormality acute respiratory syndrome approach assessment associative Associative tree automatically Boruta feature selection build Care characteristic Chest Classifier clinical data analysis clinician coronavirus correlated COVID-19 COVID-19 patients criteria CXR death Department effective Emergency forest Generalized linear model generalized linear models Johns Hopkins University Laboratory machine learning missing data imputation number of comorbidities Patient predict prediction presenting radiological Radiologists random forest classifier required Result risk risk prediction robust SARS-CoV-2 selected sensitivity shown Spread Support variable variables virus with COVID-19 worldwide pandemic [DOI] 10.1109/ACCESS.2020.3034032 PMC 바로가기 [Article Type] Computational and Artificial Intelligence
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signaturesOriginal Article Published on 2020-10-232022-10-31 Journal: European Journal of Nuclear Medicine and Molecular [Category] COVID-19, MERS, SARS, [키워드] AI interpretability China Classifier clinical symptom Cohort collected coronavirus disease 2019 pneumonia COVID-19 CT chest CT sign deep learning Deep Learning Method develop Diagnosis diagnostic Explainable AI external validation feature Features hospital Human LASSO machine learning machine learning algorithm Non-COVID-19 outbreak Patient patients with COVID-19 Pneumonia pneumonia lesion positive Predictive Radiologists Result sensitivity Sensitivity and specificity specificity supplementary material underlie USA Viral pneumonia were used with COVID-19 [DOI] 10.1007/s00259-020-05075-4 PMC 바로가기 [Article Type] Original Article
Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis임상 및 실험실 데이터, 방사선학적 구조화된 보고서 결과 및 예후 예측을 위한 COVID-19 환자의 기준 흉부 CT에서 폐 침범의 정량적 평가Chest Radiology Published on 2020-10-122022-09-01 Journal: La Radiologia Medica [Category] MERS, SARS, 진단, [키워드] Accuracy addition Admission age ALT artificial intelligence AST azotemia baseline Bilirubin calculate Chain Reaction Chest CT chest CT examination Chest CT image Chest CT images clinical Combination Comorbidities Comorbidity condition Consensus consolidation consolidations COVID-19 COVID-19 disease COVID-19 patient COVID-19 pneumonia creatinine critical condition CRP CT finding CT findings D-dimer died dimer discharged disease distribution emphysema evaluate evaluated GGO Ground-glass opacities ground-glass opacity healthy highest Hospitalized Hounsfield unit independent predictor independent predictors Laboratory laboratory data laboratory findings LDH leukocyte lobe lung lung involvement lung parenchyma Lungs material multivariate regression analysis Neutrophils not affect objective outcome Patient patients patients hospitalized patients with COVID-19 performed Pneumonia polymerase chain polymerase chain reaction predict Prognosis pulmonary disease quantification Quantitative R 2 radiological Radiologists regression analysis Regression model regression models Result reverse transcription RT-PCR scoring system sensitivity severity Severity Score significantly higher significantly lower specificity SpO2 statistically significant statistically significant difference suspicious COVID-19 the patient Thoracic three group three groups troponin Viral viral infection Volume was obtained was performed women [DOI] 10.1007/s11547-020-01293-w PMC 바로가기 [Article Type] Chest Radiology