Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising ...
PURPOSE: There has been significant progress in detecting Alzheimer's disease (AD) using retinal ima...
BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder...
To identify potential biomarkers and explore the underlying mechanisms of elderly acute kidney injur...
Alzheimer's disease (AD) is characterized by progressive brain network disintegration, yet quantifyi...
PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of li...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), bu...
BACKGROUND: Accurate assessment of 90-day functional outcomes after anterior circulation large vesse...
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based fra...
Chronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), t...
Alzheimer's disease (AD) -the most common form of dementia- begins with mild memory loss and gradual...
Deep learning algorithms optimize data by enhancing resolution and suppressing noise associated with...
PURPOSE: To characterize cell-type-specific transcriptional changes during human retinal aging and d...
The interpretability of GNNs (Graph Neural Network Models) has always been a focal point in the fiel...
PURPOSE OF REVIEW: Hypertension remains a leading modifiable risk factor for cardiovascular and rena...
With the increasing deployment of intelligent robotics in medical rehabilitation and elderly care, s...
Early identification of mild cognitive impairment (MCI) progressing to Alzheimer's disease (AD) is o...
BACKGROUND: Mild cognitive impairment (MCI), a precursor to Alzheimer's disease (AD), requires preci...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...
End-to-end training in temporal action detection (TAD) has shown great potential for performance imp...
Chronological age is a critical biological trait with substantial relevance in forensic investigatio...