Latest AI and machine learning research in geriatrics for healthcare professionals.
This study evaluates the effectiveness of an Artificial Intelligence (AI)-based smartphone applicati...
BACKGROUND AND OBJECTIVES: Disentangling brain aging from disease-related neurodegeneration in patie...
Early detection of Alzheimer's disease (AD) is crucial to maximize clinical outcomes. Most disease p...
Clinical proteomics analysis is of great significance for analyzing pathological mechanisms and disc...
PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untrea...
BACKGROUND: The increasing use of kidneys from elderly donors raises concerns due to age-related nep...
OBJECTIVES: In this study, we propose an interpretable deep learning radiomics (IDLR) model based on...
Alzheimer's disease (AD) is a chronic disease among people aged 65 and older. As the aging populatio...
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is incr...
As an early indicator of dementia, mild cognitive impairment (MCI) requires specialized treatment ac...
There is limited evidence that heavy metals exposure contributes to osteoporosis. Multi-parameter sc...
BACKGROUND: Sensor-based remote health monitoring is increasingly used to detect adverse health in p...
BACKGROUND: Sarcopenia is a prominent issue among aging populations and associated with poor health ...
BACKGROUND: Alzheimer's disease (AD) represents a progressive neurodegenerative disorder characteriz...
Graphs are ubiquitous in real-world applications, such as computation graphs and social networks. Pa...
Computer-vision and machine-learning (ML) approaches are being developed to provide scalable, unbias...
BACKGROUND: Correctly diagnosing mild cognitive impairment (MCI) and Alzheimer's disease (AD) is imp...
Two themes are coming to the forefront in this decade: Cognitive impairment of an aging population a...
Long-tailed data distributions have been a major challenge for the practical application of deep lea...
Electroencephalography (EEG) is widely used as a non-invasive technique for the diagnosis of several...
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...