Quantification of COVID-19 opacities on chest CT–evaluation of a fully automatic AI-approach to noninvasively differentiate critical versus noncritical patients

C Mader, S Bernatz, S Michalik, V Koch, SS Martin… - Academic radiology, 2021 - Elsevier
Objectives To evaluate the potential of a fully automatic artificial intelligence (AI)-driven
computed tomography (CT) software prototype to quantify severity of COVID-19 infection on …

HLA-DRB1* 04 may predict the severity of disease in a group of Iranian COVID-19 patients

S Ebrahimi, HR Ghasemi-Basir, MM Majzoobi… - Human Immunology, 2021 - Elsevier
Human leukocyte antigen (HLA) genes with extreme diversity can make a contribution for
individual variations to the immune response against SARS-COV-2 infection. This study …

SARS-CoV-2 and endothelial cells: vascular changes, intussusceptive microvascular growth and novel therapeutic windows

AG Solimando, D Marziliano, D Ribatti - Biomedicines, 2022 - mdpi.com
Endothelial activation in infectious diseases plays a crucial role in understanding and
predicting the outcomes and future treatments of several clinical conditions. COVID-19 is no …

Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosis

A Arian, MM Mehrabi Nejad, M Zoorpaikar… - Plos one, 2023 - journals.plos.org
Background Artificial intelligence (AI)-aided analysis of chest CT expedites the quantification
of abnormalities and may facilitate the diagnosis and assessment of the prognosis of …

Incidence and Risk Factors for Clostridioides difficile Infections in Non-COVID and COVID-19 Patients: Experience from a Tertiary Care Hospital

L Markovic-Denic, V Nikolic, B Toskovic, M Brankovic… - Microorganisms, 2023 - mdpi.com
(1) Background: The aim of this study was to assess the incidence and the risk factors for
healthcare-associated Clostridioides difficile infection (HA-CDI) in patients with COVID-19 …

Cytokines and leukocytes subpopulations profile in SARS-CoV-2 patients depending on the CT score severity

E Rutkowska, I Kwiecień, M Żabicka, A Maliborski… - Viruses, 2021 - mdpi.com
The role of the adaptive microenvironment components in severe acute respiratory
syndrome coronavirus 2 (SARS-Cov-2) infection is widely researched, but remains unclear …

[HTML][HTML] Lung involvement patterns in COVID-19: CT scan insights and prognostic implications from a tertiary care center in southern India

S Balasubramaniam, BP Raju, SP Kumarasamy… - Cureus, 2024 - ncbi.nlm.nih.gov
Background COVID-19, caused by the SARS-CoV-2 virus, has presented an unparalleled
challenge and a profound learning curve globally. Among the myriad of investigative tools …

An interpretable chest CT deep learning algorithm for quantification of COVID-19 lung disease and prediction of inpatient morbidity and mortality

JH Chamberlin, G Aquino, UJ Schoepf, S Nance… - Academic …, 2022 - Elsevier
Rationale and Objectives The burden of coronavirus disease 2019 (COVID-19) airspace
opacities is time consuming and challenging to quantify on computed tomography. The …

Face mask ownership/utilisation and COVID-19 vaccine hesitancy amongst patients recovering from COVID-19 in Cameroon: A cross-sectional study

FN Cho, YE Ngah, AN Tassang, CN Fru… - PLoS …, 2023 - journals.plos.org
Introduction This study aimed to establish pre-/post Coronavirus Disease 2019 (COVID-19)
diagnosis/treatment symptoms, ownership/utilisation of face masks (FMs), as well as vaccine …

Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomes

C Nardi, A Magnini, L Calistri, E Cavigli… - BMC Pulmonary …, 2023 - Springer
Background COVID-19 is a pandemic disease affecting predominantly the respiratory
apparatus with clinical manifestations ranging from asymptomatic to respiratory failure …