Latest AI and machine learning research in covid-19 for healthcare professionals.
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 ...
Magnetic resonance imaging (MRI) is increasingly being used to delineate morphological changes under...
BACKGROUND: Community-acquired Pneumonia (CAP) is a common childhood infectious disease. Deep learni...
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties wor...
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...
Artificial intelligence (AI) and machine learning (ML) represent significant advancements in computi...
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...
Opioid use disorder (OUD) has emerged as a significant global public health issue, necessitating the...
We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This stud...
Medical image segmentation is a crucial and intricate process in medical image processing and analys...
Genetic association studies have identified hundreds of independent signals associated with type 2 d...
Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy...
Animal testing is required in drug development research and is crucial for assessing the efficacy an...