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

Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …

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 …

The COVID-19 outbreak was announced as a global pandemic by the World Health
Organization in March 2020 and has affected a growing number of people in the past few …

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 …

COVID-19 is a disease caused by the new coronavirus SARS-COV-2 which can lead to
severe respiratory infections. Since its first detection it caused more than six million …

We present an experimental investigation into the automatic detection of COVID-19 from
smartphone recordings of coughs, breaths and speech. This type of screening is attractive …

Objective To investigate the association of voice analysis with severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) infection. Patients and Methods A vocal biomarker …

Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory
sounds and coughs collected by smartphones for training Machine Learning models to …

COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …