Systematic review of advanced AI methods for improving healthcare data quality in post COVID-19 Era
At the beginning of the COVID-19 pandemic, there was significant hype about the potential
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …
Lightweight skip connections with efficient feature stacking for respiratory sound classification
Y Choi, H Choi, H Lee, S Lee, H Lee - Ieee Access, 2022 - ieeexplore.ieee.org
As the number of deaths from respiratory diseases due to COVID-19 and infectious diseases
increases, early diagnosis is necessary. In general, the diagnosis of diseases is based on …
increases, early diagnosis is necessary. In general, the diagnosis of diseases is based on …
Challenges and opportunities of deep learning for cough-based COVID-19 diagnosis: A scoping review
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 …
efforts on containing the pandemic of coronavirus disease 2019 (COVID-19). Deep learning …
Covid-19 detection from respiratory sounds with hierarchical spectrogram transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves
respiratory assessments. While auscultation is a mainstream method for preliminary …
respiratory assessments. While auscultation is a mainstream method for preliminary …
Multimodal deep learning model for Covid-19 detection
FY Issahaku, X Liu, K Lu, X Fang, SB Danwana… - … Signal Processing and …, 2024 - Elsevier
This study introduces a novel multimodal deep learning model for detecting Covid-19,
uniquely combining chest X-ray images and cough sound features. We incorporated an …
uniquely combining chest X-ray images and cough sound features. We incorporated an …
Ink-lithographic fabrication of silver-nanocrystal-based multiaxial strain gauge sensors through the coffee-ring effect for voice recognition applications
Human voice recognition techniques have remarkable potential for clinical applications
because information from acoustic signals can reflect human body conditions. This paper …
because information from acoustic signals can reflect human body conditions. This paper …
[HTML][HTML] COVID-19 activity screening by a smart-data-driven multi-band voice analysis
G Silva, P Batista, PM Rodrigues - Journal of Voice, 2022 - Elsevier
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 …
severe respiratory infections. Since its first detection it caused more than six million …
Detection of COVID-19 from deep breathing sounds using sound spectrum with image augmentation and deep learning techniques
The COVID-19 pandemic is one of the most disruptive outbreaks of the 21st century
considering its impacts on our freedoms and social lifestyle. Several methods have been …
considering its impacts on our freedoms and social lifestyle. Several methods have been …
[HTML][HTML] Recommendations for successful implementation of the use of vocal biomarkers for remote monitoring of COVID-19 and Long COVID in clinical practice and …
The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical
practice or research for safety and emergency reasons, justifying the need for innovative …
practice or research for safety and emergency reasons, justifying the need for innovative …
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection
More than two years after its outbreak, the COVID-19 pandemic continues to plague medical
systems around the world, putting a strain on scarce resources, and claiming human lives …
systems around the world, putting a strain on scarce resources, and claiming human lives …