Background: The COVID-19 pandemic has resulted in enormous costs to our society.
Besides finding medicines to treat those infected by the virus, it is important to find effective …

COVID-19 pandemic has posed serious risk of contagion to humans. There is a need to find
reliable non-contact tests like vocal correlates of COVID-19 infection. Thirty-six Asian ethnic …

The Covid-19 pandemic represents one of the greatest global health emergencies of the last
few decades with indelible consequences for all societies throughout the world. The cost in …

Background:: Coronavirus disease 2019 [COVID-19], a respiratory and systemic zoonosis
form caused by virus belonging to the Coronaviridae family allegedly originating from the …

Many virological tests have been implemented during the Coronavirus Disease 2019
(COVID-19) pandemic for diagnostic purposes, but they appear unsuitable for screening …

This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19
patients based on the acoustic parameters of their voices. Twenty-five acoustic parameters …

The authors are currently conducting research on methods to estimate psychiatric and
neurological disorders from a voice by focusing on the features of speech. It is empirically …

Healthcare sensors represent a valid and non-invasive instrument to capture and analyse
physiological data. Several vital signals, such as voice signals, can be acquired anytime and …

Purpose The COVID-19 pandemic has disrupted many health systems, causing congestion
in some hospital settings. Physical consultation increases the risk of infection for staff and …

Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …