Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Post-stroke dementia (PSD), a common complication, diminishes rehabilitation efficacy an...
BACKGROUND: The field of Alzheimer's disease (AD) diagnosis is undergoing significant transformation...
Generative Adversarial Networks (GANs) have emerged as a key technology in artificial intelligence, ...
BACKGROUND: Alzheimer disease is a progressive neurological disorder marked by irreversible memory l...
Frailty is common among older adults with chronic pain, and early identification is crucial in preve...
BACKGROUND: The diagnosis of sarcopenia relies extensively on human and equipment resources and requ...
EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently...
INTRODUCTION: Alzheimer's disease (AD) is the most common form of dementia in the elderly. Given tha...
BACKGROUND: Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-wat...
Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzhei...
The advent of computerized medical recording systems in healthcare facilities has made data retrieva...
The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rel...
Humans have been shown to have biases when reading medical images, raising questions about whether h...
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...