Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND:  The early diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) rem...
For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have ...
INTRODUCTION: The incidence of Alzheimer's disease (AD) and obesity rise concomitantly. This study e...
This work proposes, for the first time, an image-based end-to-end self-normalization framework for p...
The study aimed to develop and validate, through machine learning, a fall risk prediction model rela...
PURPOSE: Chronic Obstructive Pulmonary Disease (COPD) is regarded as an accelerated aging disease. A...
The causes of traffic violations by elderly drivers are different from those of other age groups. To...
BACKGROUND: Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The inci...
OBJECTIVE: Accurate prediction of survival prognosis is helpful to guide clinical decision-making. T...
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a si...
Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the i...
OBJECTIVE: The current evidence regarding how different predictor domains contributes to predicting ...
BACKGROUND: Valproic acid (VPA) is a commonly used broad-spectrum antiepileptic drug. For elderly ep...
Person Re-identification (Re-ID) aims to match person images across non-overlapping cameras. The exi...
Accurate mapping of brain functional subregions at an individual level is crucial. Task-based functi...
Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our...
BACKGROUND: With the rise of artificial intelligence (AI) in the field of dementia biomarker researc...
Alzheimer's disease (AD) is a progressive brain disorder. Machine learning models have been proposed...
Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the...
Randomized shallow/deep neural networks with closed form solution avoid the shortcomings that exist ...
Using portable tools to monitor and identify daily activities has increasingly become a focus of dig...