Latest AI and machine learning research in universal precautions for healthcare professionals.
BACKGROUND AND OBJECTIVE: Virus identification in electron microscopy (EM) images is considered as o...
Coronaviruses infect many animals, including humans, due to interspecies transmission. Three of the ...
The segmentation of neoplasms is an important part of radiotherapy treatment planning, monitoring di...
BACKGROUND: Accurate and reliable predictions of infectious disease can be valuable to public health...
OBJECTIVES: We aimed to develop an artificial intelligence (AI) system for the real-time diagnosis o...
There is a significant discrepancy between the actual choice for initial treatment option for hepato...
The use of deep neural networks (DNNs) for analysis of complex biomedical images shows great promise...
Insect colours assist in body protection, signalling, and physiological adaptations. Colours also co...
IMPORTANCE: Deep learning, a family of machine learning models that use artificial neural networks, ...
Identification of surgical instruments is crucial in understanding surgical scenarios and providing ...
Variation in the genome of , an important pathogen, can have dramatic impacts on the bacterium's abi...
In this paper, we propose a generalized wrapper-based feature selection, called GeFeS, which is base...
Although many studies have investigated foodborne pathogen prevalence in conventional produce produc...
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patient...
BACKGROUND: Hepatitis E virus (HEV) is a major cause of human hepatitis worldwide. Zoonotic genotype...
PURPOSE: Accurate needle tracking provides essential information for MRI-guided percutaneous interve...
Hepatitis C virus (HCV) remains a significant public health challenge with approximately half of the...
Visual trackers using deep neural networks have demonstrated favorable performance in object trackin...
Indiscriminatory in its spread, COVID-19 has engulfed communities from all social backgrounds throug...
In this paper, we proposed nested encoder-decoder architecture named T-Net. T-Net consists of severa...
The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contri...