Latest AI and machine learning research in dementia for healthcare professionals.
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 ...
Alzheimer's is progressive and irreversible type of dementia, which causes degeneration and death of...
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients wit...
Multiple reference panels of a given tissue or multiple tissues often exist, and multiple regression...
Hippocampal atrophy (tissue loss) has become a fundamental outcome parameter in clinical trials on A...
Alzheimer's disease (AD) is a chronic neurodegenerative disease. Early diagnosis are very important ...
Several (inter)national longitudinal dementia observational datasets encompassing demographic inform...
This systematic review examines the prevalence, underlying mechanisms, cohort characteristics, evalu...
Neuropsychiatric symptoms (NPS) and mood disorders are common in individuals with mild cognitive imp...
In this study, we conducted an in-depth exploration of Alzheimer's Disease (AD) by integrating state...
BACKGROUND: The identification of factors involved in the conversion across the different Alzheimer'...
The classification of Alzheimer's disease (AD) using deep learning models is hindered by the limited...
BACKGROUND: Cognitive assessment plays a pivotal role in the early detection of cognitive impairment...
Radar sensors, leveraging the Doppler effect, enable the nonintrusive capture of kinetic and physiol...
Brain microstructural changes already occur in the earliest phases of Alzheimer's disease (AD) as ev...
INTRODUCTION: Emerging and advanced technologies in the field of Artificial Intelligence (AI) repres...
Alzheimer's disease (AD) is heterogeneous, but existing methods for capturing this heterogeneity thr...
Brain atrophy measurements derived from magnetic resonance imaging (MRI) are a promising marker for ...
Assessment of spatial learning abilities is central to behavioral neuroscience and a useful tool for...