[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review

M Gheisari, M Ghaderzadeh, H Li, T Taami… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …

A multimodal AI-based non-invasive COVID-19 grading framework powered by deep learning, manta ray, and fuzzy inference system from multimedia vital signs

SA Almutairi - Heliyon, 2023 - cell.com
The COVID-19 pandemic has presented unprecedented challenges to healthcare systems
worldwide. One of the key challenges in controlling and managing the pandemic is accurate …

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 …

Translational bioinformatics to enable precision medicine for all: elevating equity across molecular, clinical, and digital realms

A Tang, S Woldemariam, J Roger… - Yearbook of Medical …, 2022 - thieme-connect.com
Objectives: Over the past few years, challenges from the pandemic have led to an explosion
of data sharing and algorithmic development efforts in the areas of molecular …

[PDF][PDF] Mobile applications in COVID-19 detection and diagnosis: An efficient tool to control the future pandemic; a multidimensional systematic review of the state of …

M Gheisari, T Taami, M Ghaderzadeh, H Li… - JMIR MHealth and …, 2023 - researchgate.net
Background: In the modern world, mobile applications are essential to human advancement
and pandemic control is no exception. The use of mobile applications and technology for the …

Voice sequelae following recovery from COVID-19

TR Arias, MB Montesinos - Journal of Voice, 2022 - Elsevier
Introduction Covid-19 is an infectious disease with a different symptomatic implication
depending on each person. There are sequelae in the nervous, cardiovascular, and/or …

A machine learning framework for covid detection using cough sounds

P Srikantrh, CK Behera - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The present COVID-19 diagnosis necessitates direct patient interaction, involves variable
duration to get outcomes, and is costly. In certain poor nations, this is even unreachable to …

Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review

P Kapetanidis, F Kalioras, C Tsakonas, P Tzamalis… - Sensors, 2024 - mdpi.com
Respiratory diseases represent a significant global burden, necessitating efficient diagnostic
methods for timely intervention. Digital biomarkers based on audio, acoustics, and sound …

Voice EHR: Introducing Multimodal Audio Data for Health

J Anibal, H Huth, M Li, L Hazen, YM Lam… - arXiv preprint arXiv …, 2024 - arxiv.org
Large AI models trained on audio data may have the potential to rapidly classify patients,
enhancing medical decision-making and potentially improving outcomes through early …