[HTML][HTML] Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence

N Lessmann, CI Sánchez, L Beenen, LH Boulogne… - Radiology, 2020 - ncbi.nlm.nih.gov
Background The COVID-19 pandemic has spread across the globe with alarming speed,
morbidity and mortality. Immediate triage of suspected patients with chest infections caused …

[HTML][HTML] Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia

M Abdel-Tawab, MAA Basha, IAI Mohamed… - Insights into …, 2021 - Springer
Abstract Background The Radiological Society of North America (RSNA) recently published
a chest CT classification system and Dutch Association for Radiology has announced …

[HTML][HTML] COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system

EJ Hwang, KB Kim, JY Kim, JK Lim, JG Nam, H Choi… - PLoS …, 2021 - journals.plos.org
Chest X-rays (CXRs) can help triage for Coronavirus disease (COVID-19) patients in
resource-constrained environments, and a computer-aided detection system (CAD) that can …

[HTML][HTML] CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS

H Liu, H Ren, Z Wu, H Xu, S Zhang, J Li, L Hou… - Journal of translational …, 2021 - Springer
Background Limited data was available for rapid and accurate detection of COVID-19 using
CT-based machine learning model. This study aimed to investigate the value of chest CT …

[HTML][HTML] Early chest CT features of patients with 2019 novel coronavirus (COVID-19) pneumonia: relationship to diagnosis and prognosis

HJ Chen, J Qiu, B Wu, T Huang, Y Gao, ZP Wang… - European …, 2020 - Springer
Objective To determine the consistency between CT findings and real-time reverse
transcription–polymerase chain reaction (RT-PCR) and to investigate the relationship …

[HTML][HTML] An efficient deep learning model to detect COVID-19 using chest X-ray images

S Chakraborty, B Murali, AK Mitra - International Journal of Environmental …, 2022 - mdpi.com
The tragic pandemic of COVID-19, due to the Severe Acute Respiratory Syndrome
coronavirus-2 or SARS-CoV-2, has shaken the entire world, and has significantly disrupted …

Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph

W Jin, S Dong, C Dong, X Ye - Computers in biology and medicine, 2021 - Elsevier
Background Chest X-ray radiography (CXR) has been widely considered as an accessible,
feasible, and convenient method to evaluate suspected patients' lung involvement during …

Imaging of coronavirus disease 2019: A Chinese expert consensus statement

Q Yang, Q Liu, H Xu, H Lu, S Liu, H Li - European journal of radiology, 2020 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) is highly contagious, mainly causing
inflammatory lesions in the lungs, and can also cause damage to the intestine and liver. The …

[HTML][HTML] Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan

Y Himoto, A Sakata, M Kirita, T Hiroi… - Japanese journal of …, 2020 - Springer
Purpose To evaluate the diagnostic performance of chest CT to differentiate coronavirus
disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan. Materials and …

CT radiomics, radiologists, and clinical information in predicting outcome of patients with COVID-19 pneumonia

F Homayounieh, S Ebrahimian, R Babaei… - Radiology …, 2020 - pubs.rsna.org
Purpose To compare prediction of disease outcome, severity, and patient triage in
coronavirus disease 2019 (COVID-19) pneumonia with whole lung radiomics, radiologists' …