Machine learning and orthodontics, current trends and the future opportunities: A scoping review
Introduction In recent years, artificial intelligence (AI) has been applied in various ways in
medicine and dentistry. Advancements in AI technology show promising results in the …
medicine and dentistry. Advancements in AI technology show promising results in the …
A survey of machine learning-based methods for COVID-19 medical image analysis
K Sailunaz, T Özyer, J Rokne, R Alhajj - Medical & Biological Engineering …, 2023 - Springer
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …
6.6 million deaths with more than 637 million people infected after only 30 months since the …
Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology
As a cost-effective and objective population-wide surveillance tool, wastewater-based
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …
epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute …
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
M Alkhodari, AH Khandoker - PloS one, 2022 - journals.plos.org
This study was sought to investigate the feasibility of using smartphone-based breathing
sounds within a deep learning framework to discriminate between COVID-19, including …
sounds within a deep learning framework to discriminate between COVID-19, including …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study
F Al-Areqi, MZ Konyar - Biomedical Signal Processing and Control, 2022 - Elsevier
Rapid diagnosis of the Covid-19 disease is the best way to prevent infection. In this paper, it
is proposed to use machine learning methods to aid diagnoses quickly Covid-19 and …
is proposed to use machine learning methods to aid diagnoses quickly Covid-19 and …
Predictive models for COVID-19 detection using routine blood tests and machine learning
YV Kistenev, DA Vrazhnov, EE Shnaider, H Zuhayri - Heliyon, 2022 - cell.com
The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now.
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
Standard COVID-19 tests need high-cost reagents and specialized laboratories with high …
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
KM Kuo, PC Talley, CS Chang - International journal of medical informatics, 2022 - Elsevier
Objective COVID-19 is a novel, severely contagious disease with enormous negative impact
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
Screening of COVID-19 based on GLCM features from CT images using machine learning classifiers
AB Godbin, SG Jasmine - SN Computer Science, 2022 - Springer
In healthcare, the decision-making process is crucial, including COVID-19 prevention
methods should include fast diagnostic methods. Computed tomography (CT) is used to …
methods should include fast diagnostic methods. Computed tomography (CT) is used to …
Explainable artificial intelligence for COVID-19 diagnosis through blood test variables
LM Thimoteo, MM Vellasco, J Amaral… - Journal of Control …, 2022 - Springer
This work proposes an explainable artificial intelligence approach to help diagnose COVID-
19 patients based on blood test and pathogen variables. Two glass-box models, logistic …
19 patients based on blood test and pathogen variables. Two glass-box models, logistic …