A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?

KC Santosh, N Rasmussen, M Mamun… - PeerJ Computer Science, 2022 - peerj.com
For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

Challenges and opportunities of deep learning for cough-based COVID-19 diagnosis: A sco** review

S Ghrabli, M Elgendi, C Menon - Diagnostics, 2022 - mdpi.com
In the past two years, medical researchers and data scientists worldwide have focused their
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …

Real‐Time Implementation of AI‐Based Face Mask Detection and Social Distancing Measuring System for COVID‐19 Prevention

S Teboulbi, S Messaoud, MA Hajjaji… - Scientific …, 2021 - Wiley Online Library
Since the infectious coronavirus disease (COVID‐19) was first reported in Wuhan, it has
become a public health problem in China and even around the world. This pandemic is …

Covid-19 detection from respiratory sounds with hierarchical spectrogram transformers

I Aytekin, O Dalmaz, K Gonc, H Ankishan… - IEEE journal of …, 2023 - ieeexplore.ieee.org
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves
respiratory assessments. While auscultation is a mainstream method for preliminary …

The use of audio signals for detecting covid-19: A systematic review

JG Aleixandre, M Elgendi, C Menon - Sensors, 2022 - mdpi.com
A systematic review on the topic of automatic detection of COVID-19 using audio signals
was performed. A total of 48 papers were obtained after screening 659 records identified in …

[HTML][HTML] Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection

MS Islam, KF Hasan, HH Shajeeb, HK Rana… - AI Open, 2025 - Elsevier
This study presents a comprehensive review of the potential of multimodal deep learning
(DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of …

Virtual Healthcare Center for COVID‐19 Patient Detection Based on Artificial Intelligence Approaches

S Messaoud, S Bouaafia, A Maraoui… - Canadian Journal of …, 2022 - Wiley Online Library
At the end of 2019, the infectious coronavirus disease (COVID‐19) was reported for the first
time in Wuhan, and, since then, it has become a public health issue in China and even …

Classification of respiratory diseases and covid-19 from respiratory and cough sounds

MM Ahasan, M Fahim, H Mazumder… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Infectious and non-infectious respiratory diseases are among the primary reasons for
deaths, financial and social crises around the world. In this study, we present a comparative …

C19-MLE: A Multi-Layer Ensemble Deep Learning Approach for COVID-19 Detection Using Cough Sounds and X-ray Imaging

S Hussain, GA Amran, A Alabrah, L Alkhalil… - IEEE …, 2024 - ieeexplore.ieee.org
In response to the urgent need for rapid COVID-19 screening, there has been a growing
demand for efficient alternatives to the resource-intensive RT-PCR tests. One promising …

Covid-19 Detection Using Variational Mode Decomposition of Cough Sounds

FZ Solak - Konya Journal of Engineering Sciences, 2023 - dergipark.org.tr
According to the World Health Organization, cough is one of the most prominent symptoms
of the COVID-19 disease declared as a global pandemic. The symptom is seen in 68% to …