Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …

Background and purpose The objective of our systematic review is to identify prognostic
factors that may be used in decision-making related to the care of patients infected with …

Soaring cases of coronavirus disease (COVID-19) are pummeling the global health system.
Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of …

Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

Objective To review the available literature concerning the effectiveness of the COVID-19
diagnostic tools. Background With the absence of specific treatment/vaccines for the …

Introduction the COVID-19 pandemic poses a high risk to older people. The aim of this
article is to provide a rapid overview of the COVID-19 literature, with a specific focus on older …

Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-
19) may be attributed to the low precision of the tools used to predict the prognosis of this …

Abstract Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …

The rapid spread of COVID-19 has resulted in the shortage of medical resources, which
necessitates accurate prognosis prediction to triage patients effectively. This study used the …