Latest AI and machine learning research in geriatrics for healthcare professionals.
The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rel...
This study evaluates the effectiveness of an Artificial Intelligence (AI)-based smartphone applicati...
Humans have been shown to have biases when reading medical images, raising questions about whether h...
BACKGROUND AND OBJECTIVES: Disentangling brain aging from disease-related neurodegeneration in patie...
Emerging and evolving Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) lineages, adapted...
Clinical proteomics analysis is of great significance for analyzing pathological mechanisms and disc...
Early detection of Alzheimer's disease (AD) is crucial to maximize clinical outcomes. Most disease p...
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...
Multivariate time series exhibit complex patterns and structures involving interactions among multip...
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...