Latest AI and machine learning research in universal precautions for healthcare professionals.
Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...
BACKGROUND: Transmitted drug resistance (TDR) occurs in patients with HIV infection who are not expo...
SIGNIFICANCE: Label-free quantitative phase imaging is a promising technique for the automatic detec...
BACKGROUND AND PURPOSE: is an emerging multidrug-resistant pathogen. The identification of this spe...
Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptabilit...
BACKGROUND: Frailty is an important clinical concern for the aging population of people living with ...
Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics hav...
Fibrosis is a significant indication of chronic liver diseases often due to hepatitis C Virus. It is...
Over the last decade, convolutional neural networks (CNNs) have emerged as the leading algorithms in...
Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global problem...
PURPOSE OF REVIEW: We review applications of artificial intelligence (AI), including machine learnin...
OBJECTIVE: To develop a predictive model of neurocognitive trajectories in children with perinatal H...
INTRODUCTION: Real-time electronic adherence monitoring (EAM) systems could inform on-going risk ass...
To develop a classification model for accurately discriminating common infectious diseases in Zhejia...
Necrotizing soft tissue infections (NSTI) are multifactorial and characterized by dysfunctional, tim...
The diagnosis of disease often requires analysis of a biopsy. Many diagnoses depend not only on the ...
MOTIVATION: We expect novel pathogens to arise due to their fast-paced evolution, and new species to...
BACKGROUND: Deep learning algorithms of cerebral blood flow were used to classify cognitive impairme...
OBJECTIVE: HIV infection risk can be estimated based on not only individual features but also social...
MOTIVATION: Protein glycosylation is one of the most abundant post-translational modifications that ...
"Just-in-time" interventions (JITs) delivered via smartphones have considerable potential for reduci...