Latest AI and machine learning research in covid-19 for healthcare professionals.
INTRODUCTION: While the COVID-19 pandemic was waning in most parts of the world, a new wave of COVID...
Recent advances in experimental and computational protein structure determination have provided acce...
OBJECTIVES: Artificial intelligence (AI) has been proved to be a highly efficient tool for COVID-19 ...
Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used ma...
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...
Deep learning based methods have shown great promise in achieving accurate automatic detection of Co...
OBJECTIVE: We aimed to develop and validate the automatic quantification of coronavirus disease 2019...
OBJECTIVE: Antibiotic susceptibility testing (AST) is necessary in order to adjust empirical antibio...
PURPOSE: Deploying external artificial intelligence (AI) models locally can be logistically challeng...
Coronavirus disease-2019 (COVID-19) is a new types of coronavirus which have turned into a pandemic ...
This paper presents a computational model based on interval type-2 fuzzy systems for analysis and fo...
BACKGROUND: Right atrial (RA) area predicts mortality in patients with pulmonary hypertension, and i...
Scientific results should not just be 'repeatable' (replicable in the same laboratory under identica...
PROPOSE: The proposed deep learning model with a mask region-based convolutional neural network (Mas...
Both the ABO and Rhesus (Rh) blood groups play crucial roles in blood transfusion medicine. Herein, ...
Coronavirus born COVID-19 disease has spread its roots in the whole world. It is primarily spread by...
RATIONALE AND OBJECTIVES: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is ti...
The COVID-19 pandemic is an ongoing pandemic and is placing additional burden on healthcare systems ...
Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of C...
Recurrent neural networks (RNNs) can remember temporal contextual information over various time step...
Non-destructive testing is a group of methods for evaluating the integrity of components. Among them...