Ground-glass opacity (GGO): a review of the differential diagnosis in the era of COVID-19

D Cozzi, E Cavigli, C Moroni, O Smorchkova… - Japanese journal of …, 2021 - Springer
Thoracic imaging is fundamental in the diagnostic route of Coronavirus disease 2019
(COVID-19) especially in patients admitted to hospitals. In particular, chest computed …

Imaging findings in COVID-19 pneumonia

LPG Farias, EKUN Fonseca, DG Strabelli… - Clinics, 2020 - SciELO Brasil
The coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), emerged in Wuhan city and was declared a pandemic in …

Deep transfer learning based classification model for COVID-19 disease

Y Pathak, PK Shukla, A Tiwari, S Stalin, S Singh - Irbm, 2022 - Elsevier
The COVID-19 infection is increasing at a rapid rate, with the availability of limited number of
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …

Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT

HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey… - Radiology, 2020 - pubs.rsna.org
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share
similar CT characteristics, which contributes to the challenges in differentiating them with …

Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome

D Cozzi, M Albanesi, E Cavigli, C Moroni, A Bindi… - La radiologia …, 2020 - Springer
Aim The purpose of this study is to describe the main chest radiological features (CXR) of
COVID-19 and correlate them with clinical outcome. Materials and methods This is a …

Chest CT findings in hospitalized patients with SARS-CoV-2: Delta versus Omicron variants

SH Yoon, JH Lee, BN Kim - Radiology, 2023 - pubs.rsna.org
Background CT manifestations of SARS-CoV-2 may differ among variants. Purpose To
compare the chest CT findings of SARS-CoV-2 between the Delta and Omicron variants …

The performance of chest CT in evaluating the clinical severity of COVID-19 pneumonia: identifying critical cases based on CT characteristics

P Lyu, X Liu, R Zhang, L Shi, J Gao - Investigative radiology, 2020 - journals.lww.com
Objectives The aim of this study was to assess the clinical severity of COVID-19 pneumonia
using qualitative and/or quantitative chest computed tomography (CT) indicators and identify …

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients

J Mushtaq, R Pennella, S Lavalle, A Colarieti… - European …, 2021 - Springer
Objective To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI
system may have prognostic utility in patients with COVID-19. Methods This retrospective …

International expert consensus statement on chest imaging in pediatric COVID-19 patient management: imaging findings, imaging study reporting, and imaging study …

AM Foust, GS Phillips, WC Chu, P Daltro… - Radiology …, 2020 - pubs.rsna.org
Coronavirus disease 2019 (COVID-19) has quickly spread since it was first detected in
December 2019 and has evolved into a global pandemic with over 1.7 million confirmed …

[HTML][HTML] Deep convolutional neural network–based computer-aided detection system for COVID-19 using multiple lung scans: design and implementation study

M Ghaderzadeh, F Asadi, R Jafari, D Bashash… - Journal of Medical …, 2021 - jmir.org
Background Owing to the COVID-19 pandemic and the imminent collapse of health care
systems following the exhaustion of financial, hospital, and medicinal resources, the World …