Predictive value of initial CT scan for various adverse outcomes in patients with COVID-19 pneumonia

B Khosravi, L Aghaghazvini, M Sorouri, SN Atashi… - Heart & Lung, 2021 - Elsevier
Background Chest computed tomography (CT) scan is frequently used in the diagnosis of
COVID-19 pneumonia. Objectives This study investigates the predictive value of CT severity …

[HTML][HTML] Correlation between chest computed tomography scan findings and mortality of COVID-19 cases; a cross sectional study

M Raoufi, SAAS Naini, Z Azizan, FJ Zade… - Archives of academic …, 2020 - ncbi.nlm.nih.gov
Methods: This cross sectional study was carried out on confirmed COVID-19 cases with
clinical manifestations and chest CT scan findings based on Iran's National Guidelines for …

Stenotrophomonas maltophilia pneumonia in critical COVID-19 patients

M Raad, M Abou Haidar, R Ibrahim, R Rahal… - Scientific Reports, 2023 - nature.com
Stenotrophomonas maltophilia, an environmental aerobic non-fermentative Gram-negative
bacilli, has gained attention in many nosocomial outbreaks. COVID-19 patients in intensive …

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN

R Karthik, R Menaka, M Hariharan, D Won - Applied Soft Computing, 2022 - Elsevier
Evaluating patient criticality is the foremost step in administering appropriate COVID-19
treatment protocols. Learning an Artificial Intelligence (AI) model from clinical data for …

[HTML][HTML] Pleural abnormalities in COVID-19: a narrative review

BK Saha, WH Chong, A Austin, R Kathuria… - Journal of thoracic …, 2021 - ncbi.nlm.nih.gov
Objective This narrative review aims to provide a detailed overview of pleural abnormalities
in patients with coronavirus disease 19 or COVID-19. Background Severe acute respiratory …

[HTML][HTML] Clinical utility of chest radiography for severe COVID-19

TCH Hui, HW Khoo, BE Young… - … imaging in medicine …, 2020 - ncbi.nlm.nih.gov
Background Chest radiography (CXR) is performed more widely and readily than CT for the
management of coronavirus disease (COVID-19), but there remains little data on its clinical …

[HTML][HTML] Application of artificial intelligence in COVID-19 medical area: a systematic review

Z Chang, Z Zhan, Z Zhao, Z You, Y Liu… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Background Coronavirus disease 2019 (COVID-19) has caused a large-scale global
epidemic, impacting international politics and the economy. At present, there is no …

Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels

D Wu, K Gong, CD Arru, F Homayounieh… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Early and accurate diagnosis of Coronavirus disease (COVID-19) is essential for patient
isolation and contact tracing so that the spread of infection can be limited. Computed …

Subcutaneous tocilizumab treatment in patients with severe COVID-19–related cytokine release syndrome: an observational cohort study

A Mastroianni, S Greco, G Apuzzo, S De Santis… - …, 2020 - thelancet.com
Background Patients with severe coronavirus disease 2019 (COVID-19) have elevated
levels of acute phase reactants and inflammatory cytokines, including interleukin-6 …

CO-RADS versus CT-SS scores in predicting severe COVID-19 patients: retrospective comparative study

NE Zayed, MA Bessar, S Lutfy - The Egyptian Journal of Bronchology, 2021 - Springer
Background The role of CT in assessing and plotting viral pulmonary affection land marking
is its potential among other investigation tools, and the aim of the study was to compare the …