Clinical update on COVID-19 for the emergency clinician: Presentation and evaluation

B Long, BM Carius, S Chavez, SY Liang… - The American journal of …, 2022 - Elsevier
Introduction Coronavirus disease of 2019 (COVID-19) has resulted in millions of cases
worldwide. As the pandemic has progressed, the understanding of this disease has evolved …

[HTML][HTML] Diagnostics for SARS-CoV-2 infections

BD Kevadiya, J Machhi, J Herskovitz, MD Oleynikov… - Nature materials, 2021 - nature.com
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to nearly every
corner of the globe, causing societal instability. The resultant coronavirus disease 2019 …

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

M Roberts, D Driggs, M Thorpe, J Gilbey… - Nature Machine …, 2021 - nature.com
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 …

Predictors of COVID‐19 severity: a literature review

B Gallo Marin, G Aghagoli, K Lavine… - Reviews in medical …, 2021 - Wiley Online Library
Summary The coronavirus disease 2019 (COVID‐19) pandemic is a rapidly evolving global
emergency that continues to strain healthcare systems. Emerging research describes a …

AI for radiographic COVID-19 detection selects shortcuts over signal

AJ DeGrave, JD Janizek, SI Lee - Nature Machine Intelligence, 2021 - nature.com
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …

Patient outcomes after hospitalisation with COVID-19 and implications for follow-up: results from a prospective UK cohort

DT Arnold, FW Hamilton, A Milne, AJ Morley, J Viner… - Thorax, 2021 - thorax.bmj.com
The longer-term consequences of SARS-CoV-2 infection are uncertain. Consecutive
patients hospitalised with COVID-19 were prospectively recruited to this observational study …

COVID-19: Discovery, diagnostics and drug development

T Asselah, D Durantel, E Pasmant, G Lau… - Journal of …, 2021 - Elsevier
Summary Coronavirus disease 2019 (COVID-19) started as an epidemic in Wuhan in 2019,
and has since become a pandemic. Groups from China identified and sequenced the virus …

Detection technologies and recent developments in the diagnosis of COVID-19 infection

P Rai, BK Kumar, VK Deekshit, I Karunasagar… - Applied microbiology …, 2021 - Springer
COVID-19 is a disease caused by SARS-CoV-2 capable of causing mild to severe infections
in humans. Since its first appearance in China in December 2019, the pandemic has spread …

Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19

F Shi, J Wang, J Shi, Z Wu, Q Wang… - IEEE reviews in …, 2020 - ieeexplore.ieee.org
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …

[HTML][HTML] Features, evaluation, and treatment of coronavirus (COVID-19)

M Cascella, M Rajnik, A Aleem, SC Dulebohn… - 2020 - europepmc.org
Objectives: Screen individuals based on exposure and symptom criteria to identify potential
COVID-19 cases. Identify the clinical features and radiological findings expected in patients …