Latest AI and machine learning research in covid-19 for healthcare professionals.
In order to enhance the mitigation of crack occurrence and propagation within basement concrete stru...
OBJECTIVE: Sitosterolemia is a rare autosomal recessive disease caused by the deleterious variants o...
The aim of this study was to compare the effectiveness of traditional neurological rehabilitation an...
This article presents a learning algorithm for dendrite morphological neurons (DMN) based on stochas...
Although the goal of rectal cancer treatment is to restore gastrointestinal continuity, some patient...
Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnos...
Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and e...
Breast ultrasound (BUS) image classification in benign and malignant classes is often based on pre-t...
BACKGROUND: Liver dysfunction was common in coronavirus disease 2019 (COVID-19), but its association...
Surface-enhanced Raman scattering (SERS) has evolved into a robust analytical technique capable of d...
Despite challenges in severity scoring systems, artificial intelligence-enhanced electrocardiography...
. The decision-making behavior of the proposer is a key factor in achieving effective and equitable ...
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties wor...
Magnetic resonance imaging (MRI) is increasingly being used to delineate morphological changes under...
Semi-supervised learning aims to train a high-performance model with a minority of labeled data and ...
As a non-linear phenomenon that varies along with agro-climatic conditions alongside many other fact...
Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe dis...
Modified Electric Convulsive Therapy (MECT) is an efficacious physical therapy in treating mental di...
In this study, a deep quantum neural network (DQNN) based on the Lion-based Coot algorithm (LBCA-bas...
Two-dimensional lung ultrasound (LUS) has widely emerged as a rapid and noninvasive imaging tool for...
Deep-learning auto-contouring (DL-AC) promises standardisation of organ-at-risk (OAR) contouring, en...