Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection
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 …
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
[PDF][PDF] COVID-19 pandemic: from origins to outcomes. A comprehensive review of viral pathogenesis, clinical manifestations, diagnostic evaluation, and management
SUMMARY majority of patients tend to have a mild illness, a minority of patients develop
severe hypoxia requiring hospitalization and mechanical ventilation. Management is mostly …
severe hypoxia requiring hospitalization and mechanical ventilation. Management is mostly …
Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies
Objective We aimed to describe the associations of age and sex with the risk of COVID-19 in
different severity stages ranging from infection to death. Design Systematic review and meta …
different severity stages ranging from infection to death. Design Systematic review and meta …
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …
disease that causes serious pneumonia and impacts our different body parts from mild to …
Risk factors for Covid-19 severity and fatality: a structured literature review
D Wolff, S Nee, NS Hickey, M Marschollek - Infection, 2021 - Springer
Purpose Covid-19 is a global threat that pushes health care to its limits. Since there is
neither a vaccine nor a drug for Covid-19, people with an increased risk for severe and fatal …
neither a vaccine nor a drug for Covid-19, people with an increased risk for severe and fatal …
Automated detection of COVID-19 cases using deep neural networks with X-ray images
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 …
China in December 2019, spread rapidly around the world and became a pandemic. It has …
Systematic review with meta-analysis of the accuracy of diagnostic tests for COVID-19
B Böger, MM Fachi, RO Vilhena, AF Cobre… - American journal of …, 2021 - Elsevier
Objective To collate the evidence on the accuracy parameters of all available diagnostic
methods for detecting SARS-CoV-2. Methods A systematic review with meta-analysis was …
methods for detecting SARS-CoV-2. Methods A systematic review with meta-analysis was …
Clinical and epidemiological characteristics of 1420 European patients with mild‐to‐moderate coronavirus disease 2019
JR Lechien, CM Chiesa‐Estomba… - Journal of internal …, 2020 - Wiley Online Library
Background The clinical presentation of European patients with mild‐to‐moderate COVID‐
19 infection is still unknown. Objective To study the clinical presentation of COVID‐19 in …
19 infection is still unknown. Objective To study the clinical presentation of COVID‐19 in …