Clinical update on COVID-19 for the emergency clinician: Presentation and evaluation
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 …
worldwide. As the pandemic has progressed, the understanding of this disease has evolved …
Recent developments on therapeutic and diagnostic approaches for COVID-19
J Majumder, T Minko - The AAPS journal, 2021 - Springer
The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made a serious public health …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made a serious public health …
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Abstract Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200
countries affecting millions and claiming almost 2 million lives, since its emergence in late …
countries affecting millions and claiming almost 2 million lives, since its emergence in late …
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of
patients at the emergency department is critical to inform decision-making. We propose a …
patients at the emergency department is critical to inform decision-making. We propose a …
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Background Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that
might be valuable in the prognostication of patients with COVID-19. We aimed to develop …
might be valuable in the prognostication of patients with COVID-19. We aimed to develop …
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification
Developing a robust algorithm to diagnose and quantify the severity of the novel coronavirus
disease 2019 (COVID-19) using Chest X-ray (CXR) requires a large number of well-curated …
disease 2019 (COVID-19) using Chest X-ray (CXR) requires a large number of well-curated …
Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic
M Alhasan, M Hasaneen - Computerized Medical Imaging and Graphics, 2021 - Elsevier
The advancement of technology remained an immersive interest for humankind throughout
the past decades. Tech enterprises offered a stream of innovation to address the universal …
the past decades. Tech enterprises offered a stream of innovation to address the universal …
Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification
Background Although biopsy is the gold standard for tumour grading, being invasive, this
procedure also proves fatal to the brain. Thus, non-invasive methods for brain tumour …
procedure also proves fatal to the brain. Thus, non-invasive methods for brain tumour …
Detection of covid-19 from chest x-ray images using deep convolutional neural networks
The COVID-19 global pandemic has wreaked havoc on every aspect of our lives. More
specifically, healthcare systems were greatly stretched to their limits and beyond. Advances …
specifically, healthcare systems were greatly stretched to their limits and beyond. Advances …