Latest AI and machine learning research in geriatrics for healthcare professionals.
Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential fo...
Alzheimer's disease (AD) is a major neurodegenerative dementia, with its complex pathophysiology cha...
BACKGROUND: Recent advancements in artificial intelligence (AI) have changed the care processes in m...
Alzheimer's disease (AD) is a complex, progressive, and irreversible neurodegenerative disorder mark...
Dementia affects over 55 million people globally, with early cognitive decline, such as Mild Cogniti...
BACKGROUND: The mechanism of palmitoylation in the pathogenesis of Alzheimer's disease (AD) remains ...
BACKGROUND: Identifying high risk factors and predicting lung cancer incidence risk are essential to...
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's d...
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative diseases. Given the multifac...
In image segmentation for medical image analysis, effective upsampling is crucial for recovering spa...
BACKGROUND: Intracerebral amyloid β (Aβ) accumulation is considered the initial observable event in ...
Existing dementia prediction models using non-neuroimaging clinical measures have been limited in th...
Alzheimer's disease (AD) is characterized as a neurodegenerative disorder that is caused by plaque f...
STUDY OBJECTIVES: This study aimed to identify the risk factors associated with falls in hospitalize...
When infants are admitted to the hospital with skull fractures, providers must distinguish between c...
OBJECTIVES: The future emergence of disease-modifying treatments for dementia highlights the urgent ...
Long time series forecasting has extensive applications in various fields such as power dispatching,...
Integrating 3D magnetic resonance imaging (MRI) with machine learning has shown promising results in...
The persistence of per- and polyfluoroalkyl substances (PFAS) in surface water can pose risks to eco...
BACKGROUND: The two most commonly used methods to identify frailty are the frailty phenotype and the...
Artificial intelligence-assisted imaging biosensors have attracted increasing attention due to their...