Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
Multimodal technologies for remote assessment of neurological and mental health
V Ramanarayanan - Journal of Speech, Language, and Hearing …, 2024 - pubs.asha.org
Purpose: Automated remote assessment and monitoring of patients' neurological and
mental health is increasingly becoming an essential component of the digital clinic and …
mental health is increasingly becoming an essential component of the digital clinic and …
CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
Dysprosium tungstate incorporated on exfoliated layered molybdenum disulfide-based a flexible and wearable piezoelectric nanogenerator for the dual purpose of …
The rapid spread of the novel coronavirus (COVID-19), including the Omicron, and Delta
variants, has resulted in severe economic losses and health issues worldwide. This crisis …
variants, has resulted in severe economic losses and health issues worldwide. This crisis …
CdcSegNet: automatic COVID-19 infection segmentation from CT images
J Zhang, D Chen, D Ma, C Ying, X Sun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
It has been more than two years since the outbreak of COVID-19, which has spread to
almost every corner of the world and killed a great number of people. Rapid detection and …
almost every corner of the world and killed a great number of people. Rapid detection and …
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds
Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …
pandemics that continue to affect with its variants. Since it is transmitted through the …
[HTML][HTML] Explainable ai for time series via virtual inspection layers
The field of eXplainable Artificial Intelligence (XAI) has witnessed significant advancements
in recent years. However, the majority of progress has been concentrated in the domains of …
in recent years. However, the majority of progress has been concentrated in the domains of …
Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues
Auscultation plays an important role in the clinic, and the research community has been
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …
exploring machine learning (ML) to enable remote and automatic auscultation for respiratory …
[HTML][HTML] Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation
Background Recent work has shown the potential of using audio data (eg, cough, breathing,
and voice) in the screening for COVID-19. However, these approaches only focus on one-off …
and voice) in the screening for COVID-19. However, these approaches only focus on one-off …
Detection of common cold from speech signals using deep neural network
This paper presents a deep learning-based analysis and classification of cold speech
observed when a person is diagnosed with the common cold. The common cold is a viral …
observed when a person is diagnosed with the common cold. The common cold is a viral …