Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …
The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
A Review of the State of the Art in Non-Contact Sensing for COVID-19
COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no
approved vaccination or treatment, governments around the world have issued guidance to …
approved vaccination or treatment, governments around the world have issued guidance to …
An overview of thermal infrared imaging-based screenings during pandemic emergencies
Infrared thermal imaging (IRI) is a contact-less technology able to monitor human skin
temperature for biomedical applications and in real-life contexts. Its capacity to detect fever …
temperature for biomedical applications and in real-life contexts. Its capacity to detect fever …
[HTML][HTML] Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough …
The issue in respiratory sound classification has attained good attention from the clinical
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
Contact and remote breathing rate monitoring techniques: A review
Breathing rate monitoring is a must for hospitalized patients with the current coronavirus
disease 2019 (COVID-19). We review in this paper recent implementations of breathing …
disease 2019 (COVID-19). We review in this paper recent implementations of breathing …
[HTML][HTML] COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds
L Kranthi Kumar, PJA Alphonse - The European Physical Journal Special …, 2022 - Springer
In the last 2 years, medical researchers and clinical scientists have paid close attention to
the problem of respiratory sound classification to classify COVID-19 disease symptoms. In …
the problem of respiratory sound classification to classify COVID-19 disease symptoms. In …
Developing medical imaging AI for emerging infectious diseases
Advances in artificial intelligence (AI) and computer vision hold great promise for assisting
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …
A literature review on COVID-19 disease diagnosis from respiratory sound data
The World Health Organization (WHO) has announced a COVID-19 was a global pandemic
in March 2020. It was initially started in china in the year 2019 December and affected an …
in March 2020. It was initially started in china in the year 2019 December and affected an …