Latest AI and machine learning research in geriatrics for healthcare professionals.
In the realm of Intelligent Tutoring System (ITS), the accurate assessment of students' knowledge ...
Large Vision Language Models (LVLMs) have demonstrated remarkable abilities in understanding and r...
The detection of Alzheimer disease (AD) from clinical MRI data is an active area of research in me...
As a crucial part of the spectral filter array (SFA)-based multispectral imaging process, spectral...
Background:Speech patterns have emerged as potential diagnostic markers for conditions with varyin...
Accurately discriminating progressive stages of Alzheimer's Disease (AD) is crucial for early diag...
Characterizing a preclinical stage of Alzheimer's Disease (AD) via single imaging is difficult as ...
Falls are a common cause of fatal injuries and hospitalization. However, having fall detection on ...
Stacking excessive layers in DNN results in highly underdetermined system when training samples ar...
Dementia, a progressive neurodegenerative disorder, affects memory, reasoning, and daily functioni...
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) prov...
Accurate localization plays an important role in high-level autonomous driving systems. Convention...
Generating knowledge-intensive and comprehensive long texts, such as encyclopedia articles, remain...
Early diagnosis of Alzheimer's disease (AD) is critical for intervention before irreversible neuro...
Alzheimer's disease (AD) diagnosis is complex, requiring the integration of imaging and clinical d...
A specialized high-precision numerical search for equal-mass collisionless three-body periodic fre...
Purpose To apply conformal prediction to a deep learning (DL) model for intracranial hemorrhage (ICH...
Alzheimer's disease (AD) is the most prevalent form of dementia, characterized by progressive memory...
INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive d...
Background Recent studies have investigated how deep learning (DL) algorithms applied to CT using tw...
BACKGROUND: Integrating non-invasive measures to estimate abnormal amyloid beta accumulation (Aβ+) i...