AIMC Topic: COVID-19

Clear Filters Showing 911 to 920 of 2380 articles

COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention.

Computers in biology and medicine Sep 1, 2022
Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image...
X-Rays Disease Progression Deep Learning Attention COVID-19 Testing Humans COVID-19
View on PubMed DOI

Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data.

Scientific reports Sep 1, 2022
With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development of diagnostic algorithms in the medical domain. Medical data contains ...
Pandemics COVID-19 Humans Biometry X-Rays SARS-CoV-2 Deep Learning
View on PubMed DOI

COVID-19 and artificial intelligence: Experts and dermatologists perspective.

Journal of cosmetic dermatology Aug 31, 2022
INTRODUCTION: Artificial intelligence (AI) has an important role to play in future healthcare offerings. Machine learning and artificial neural networks are subsets of AI that refer to the incorporation of human intelligence into computers to think a...
Pandemics COVID-19 Humans Artificial Intelligence Dermatologists Referral and Consultation
View on PubMed DOI

A Novel Method for COVID-19 Detection Based on DCNNs and Hierarchical Structure.

Computational and mathematical methods in medicine Aug 31, 2022
The worldwide outbreak of the new coronavirus disease (COVID-19) has been declared a pandemic by the World Health Organization (WHO). It has a devastating impact on daily life, public health, and global economy. Due to the highly infectiousness, it i...
Humans Radiography COVID-19 Neural Networks, Computer Deep Learning
View on PubMed DOI

-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.

Journal of chemical information and modeling Aug 30, 2022
Protein-protein interactions (PPIs) are involved in almost all biological processes in the cell. Understanding protein-protein interactions holds the key for the understanding of biological functions, diseases and the development of therapeutics. Rec...
Protein Binding Mutation COVID-19 SARS-CoV-2 Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning.

Viruses Aug 30, 2022
COVID-19 has been in the headlines for the past two years. Diagnosing this infection with minimal false rates is still an issue even with the advent of multiple rapid antigen tests. Enormous data are being collected every day that could provide insig...
Sensitivity and Specificity Deep Learning COVID-19 Testing COVID-19 Humans SARS-CoV-2
View on PubMed DOI

COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization.

Frontiers in public health Aug 30, 2022
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the lives of millions of people worldwide in the last 2 years. Because of the disease's rapid spread, it is critical to diagnose it at an early stage in order to redu...
Animals Moths Neural Networks, Computer Humans X-Rays COVID-19 Deep Learning
View on PubMed DOI

Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods.

Computers in biology and medicine Aug 28, 2022
BACKGROUND: COVID-19 infected millions of people and increased mortality worldwide. Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended emergency departments, resulting in increased pressures and waiting times. Rap...
Machine Learning COVID-19 Adult Hospitals Humans Artificial Intelligence Deep Learning
View on PubMed DOI

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

Computers in biology and medicine Aug 25, 2022
COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. Deep Neural Networks with hundreds or even millions of parameters (weights) are referred to as "black boxes" because their behavior...
Pneumonia COVID-19 Deep Learning Neural Networks, Computer Artificial Intelligence Humans
View on PubMed DOI

A Comparison on LSTM Deep Learning Method and Random Walk Model Used on Financial and Medical Applications: An Example in COVID-19 Development Prediction.

Computational intelligence and neuroscience Aug 23, 2022
This study aims to establish the model of the cryptocurrency price trend based on a financial theory using the Long Short-Term Memory (LSTM) networks model with multiple combinations between the window length and the predicting horizons. The Random W...
Deep Learning Data Collection Neural Networks, Computer COVID-19 Humans
View on PubMed DOI
Popular Topics
Recent Journals