Latest AI and machine learning research in dementia for healthcare professionals.
AIMS: Automated hippocampal segmentation is an important issue in many neuroscience studies.
OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents wit...
BACKGROUND: Ginseng has been used as a tonic for invigoration of the human body. In a previous repor...
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis h...
Computer-aided diagnosis of dementia using a support vector machine (SVM) can be improved with featu...
Accurate classification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairme...
OBJECTIVE: Boosting accuracy in automatically discriminating patients with Alzheimer's disease (AD) ...
MOTIVATION: Alzheimer's disease (AD) is a dementia that gets worse with time resulting in loss of me...
Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, me...
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatial...
BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural int...
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes kno...
The current diagnosis process of dementia is resulting in a high percentage of cases with delayed de...
Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Al...
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected b...
Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD...
Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) a...
BACKGROUND: As America's baby boom generation reaches retirement, the number of elders, and, in turn...
The unknown pathogenic mechanisms of Alzheimer's disease (AD) make treatment challenging. Neuroimagi...
Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...
Unstructured electronic health records are a rich source of patient-specific information but are cha...