Telemedicine and artificial intelligence to support self-isolation of COVID-19 patients: Recent updates and challenges
JA Huang, IR Hartanti, MN Colin… - Digital health, 2022 - journals.sagepub.com
Background Asymptomatic and high-risk COVID-19 patients are advised to self-isolate at
home. However, patients may not realize that the condition is deteriorating until too late …
home. However, patients may not realize that the condition is deteriorating until too late …
Telemedicine in Primary Practice in the Age of the COVID-19 Pandemic
A Romaszko-Wojtowicz, Ł Jaśkiewicz, P Jurczak… - Medicina, 2023 - mdpi.com
Background and Objectives: In the era of the COVID-19 pandemic, telemedicine, so far
underestimated, has gained in value. Currently, telemedicine is not only a telephone or chat …
underestimated, has gained in value. Currently, telemedicine is not only a telephone or chat …
Efficiently classifying lung sounds through depthwise separable CNN models with fused STFT and MFCC features
Lung sounds remain vital in clinical diagnosis as they reveal associations with pulmonary
pathologies. With COVID-19 spreading across the world, it has become more pressing for …
pathologies. With COVID-19 spreading across the world, it has become more pressing for …
Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost
The recent investigation has started for evaluating the human respiratory sounds, like voice
recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from …
recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from …
Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and …
Background Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and
non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease …
non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease …
[HTML][HTML] Feasibility of deep learning-based analysis of auscultation for screening significant stenosis of native arteriovenous fistula for hemodialysis requiring …
Objective To investigate the feasibility of using a deep learning-based analysis of
auscultation data to predict significant stenosis of arteriovenous fistulas (AVF) in patients …
auscultation data to predict significant stenosis of arteriovenous fistulas (AVF) in patients …
Artificial intelligence and radiation protection. A game changer or an update?
S Andresz, A Zéphir, J Bez, M Karst… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial intelligence (AI) is regarded as one of the most disruptive technology of the century
and with countless applications. What does it mean for radiation protection? This article …
and with countless applications. What does it mean for radiation protection? This article …
[HTML][HTML] Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19
EA Lapteva, ON Kharevich, VV Khatsko… - European …, 2021 - Eur Respiratory Soc
Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for
identifying lower respiratory tract involvement in COVID-19 | European Respiratory Society Skip …
identifying lower respiratory tract involvement in COVID-19 | European Respiratory Society Skip …
[HTML][HTML] A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre …
N Kasim, N Bachner-Hinenzon, S Brikman… - … Signal Processing and …, 2022 - Elsevier
Objectives To characterize the frequencies of breathing sounds signals (BS) in COVID-19
patients at peak disease and pre-discharge from hospitalization using a Smart stethoscope …
patients at peak disease and pre-discharge from hospitalization using a Smart stethoscope …
Jaya Honey Badger optimization-based deep neuro-fuzzy network structure for detection of (SARS-CoV) Covid-19 disease by using respiratory sound signals
Purpose The Covid-19 prediction process is more indispensable to handle the spread and
death occurred rate because of Covid-19. However early and precise prediction of Covid-19 …
death occurred rate because of Covid-19. However early and precise prediction of Covid-19 …