Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection

SH Safiabadi Tali, JJ LeBlanc, Z Sadiq… - Clinical microbiology …, 2021 - Am Soc Microbiol
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …

Artificial Intelligence (AI) applications for COVID-19 pandemic

R Vaishya, M Javaid, IH Khan, A Haleem - Diabetes & Metabolic Syndrome …, 2020 - Elsevier
Background and aims Healthcare delivery requires the support of new technologies like
Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight …

Chest CT in COVID-19: what the radiologist needs to know

TC Kwee, RM Kwee - Radiographics, 2020 - pubs.rsna.org
Chest CT has a potential role in the diagnosis, detection of complications, and
prognostication of coronavirus disease 2019 (COVID-19). Implementation of appropriate …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …

Automated detection of COVID-19 cases using deep neural networks with X-ray images

T Ozturk, M Talo, EA Yildirim, UB Baloglu… - Computers in biology …, 2020 - Elsevier
Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …

Organ-specific manifestations of COVID-19 infection

M Gavriatopoulou, E Korompoki, D Fotiou… - Clinical and …, 2020 - Springer
Although COVID-19 presents primarily as a lower respiratory tract infection transmitted via
air droplets, increasing data suggest multiorgan involvement in patients that are infected …

CO-RADS: a categorical CT assessment scheme for patients suspected of having COVID-19—definition and evaluation

M Prokop, W Van Everdingen, T van Rees Vellinga… - Radiology, 2020 - pubs.rsna.org
Background A categorical CT assessment scheme for suspicion of pulmonary involvement
of coronavirus disease 2019 (COVID-19 provides a basis for gathering scientific evidence …

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

AA Ardakani, AR Kanafi, UR Acharya… - Computers in biology …, 2020 - Elsevier
Fast diagnostic methods can control and prevent the spread of pandemic diseases like
coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in …

Radiological Society of North America expert consensus document on reporting chest CT findings related to COVID-19: endorsed by the Society of Thoracic Radiology …

S Simpson, FU Kay, S Abbara, S Bhalla… - Radiology …, 2020 - pubs.rsna.org
Routine screening CT for the identification of coronavirus disease 19 (COVID-19)
pneumonia is currently not recommended by most radiology societies. However, the number …

Diagnostic testing for severe acute respiratory syndrome–related coronavirus 2: a narrative review

MP Cheng, J Papenburg, M Desjardins… - Annals of internal …, 2020 - acpjournals.org
Diagnostic testing to identify persons infected with severe acute respiratory syndrome–
related coronavirus 2 (SARS-CoV-2) infection is central to control the global pandemic of …