Latest AI and machine learning research in covid-19 for healthcare professionals.
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...
Point-of-care (POC) real-time polymerase chain reaction (PCR) has become one of the most important t...
Recovering and distinguishing different ionospheric layers and signals usually requires slow and com...
BACKGROUND: Artificial intelligence technologies in classification/detection of COVID-19 positive ca...
OBJECTIVE.: To determine the titer of antibodies against the receptor binding domain (RBD) of the sp...
Traffic conflict techniques represent the state-of-the-art for road safety assessments. However, the...
Automatic detection of some pulmonary abnormalities using chest X-rays may be impacted adversely due...
In this study, we designed two deep neural networks to encode 16 features for early seizure detectio...
Early and accurate detection of COVID-19 is an essential process to curb the spread of this deadly d...
Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and...
Since December 2019, the COVID-19 pandemic has led to a dramatic loss of human lives and caused seve...
SWIR imaging bears considerable advantages over visible-light (color) and thermal images in certain ...
BACKGROUND AND PURPOSE: Geometric information such as distance information is essential for dose cal...
SignificanceAn influential idea in neuroscience is that neural circuits do not only passively proces...
The development of a new vaccine is a challenging exercise involving several steps including computa...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
INTRODUCTION: Objective assessment of osteoarthritis (OA) Magnetic Resonance Imaging (MRI) scans can...
Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing field...
Background: To develop a deep-learning (DL) pipeline that allowed an automated segmentation of epica...
Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interv...