Latest AI and machine learning research in geriatrics for healthcare professionals.
Human Activity Recognition (HAR) refers to a field that aims to identify human activities by adoptin...
Humanoid robots that can autonomously operate in diverse environments have the potential to help add...
In this work, a Python framework for characteristic feature extraction is developed and applied to g...
In the realm of long document classification (LDC), previous research has predominantly focused on m...
Despite the abundance of genotype-phenotype association studies, the resulting association outcomes ...
The elderly population is growing rapidly in the world and falls are becoming a big problem for soci...
BACKGROUND AND AIMS: A machine learning algorithm based on circulating metabolic biomarkers for the ...
Owing to accelerated societal aging, the prevalence of elderly individuals experiencing solitary or ...
BACKGROUND: In the face of continued growth in the elderly population, the need to understand and co...
PURPOSE: The purposes of the study was to describe the degree of agreement between geriatricians wit...
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating s...
BACKGROUND: Interventions and care that can evoke positive emotions and reduce apathy or agitation a...
OBJECTIVE: Medication management of patients with polypharmacy is highly complex. We aimed to valida...
Cellular senescence underlies many aging-related pathologies, but its heterogeneity poses challenges...
The advent of artificial intelligence (AI) technologies has taken the world of science by storm in 2...
In the fall of 2021, several experts in this space delivered a Webinar hosted by the American Societ...
Diffusion magnetic resonance imaging (dMRI) tractography is a critical technique to map the brain's ...
BACKGROUND: Readmission within 30 days is a prevalent issue among elderly patients, linked to unfavo...
BACKGROUND: Cognitive dysfunction is regarded as one of the most severe aftereffects following coron...
Artificial intelligence (AI)-based approaches are crucial in computer-aided diagnosis (CAD) for vari...
SIGNIFICANCE: Endoscopic screening for esophageal cancer (EC) may enable early cancer diagnosis and ...