Latest AI and machine learning research in geriatrics for healthcare professionals.
We applied graph theory analysis on resting-state functional magnetic resonance imaging data to eval...
BACKGROUND: Advanced machine learning methods can aid in the identification of dementia risk using n...
BACKGROUND: Mild cognitive impairment (MCI) is considered a prodromal stage of Alzheimer's disease. ...
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is impor...
BACKGROUND: There is a need for more reliable diagnostic tools for the early detection of Alzheimer'...
BACKGROUND: Quantitatively predicting the progression of Alzheimer's disease (AD) in an individual o...
BACKGROUND: Using non-pharmacological interventions is a current approach in dementia care to manage...
BACKGROUND: In recent years, many convolutional neural networks (CNN) have been proposed for the cla...
AIM AND OBJECTIVE: Fast and accurate diagnosis of Alzheimer's disease is very important for the care...
With the increasing size of datasets used in medical imaging research, the need for automated data c...
Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various...
Residential roofers have the highest rate of falls in the construction sector with injuries and fata...
Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...
BACKGROUND: Femoral neck fracture is a common type of hip fracture, which has a high morbidity and m...
Normalizing intrinsic variabilities (e.g., variability in speech production brought on by aging, phy...
OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer's Disease (...
Alzheimer's disease (AD) is an irreversible devastative neurodegenerative disorder associated with p...
The aging process is accompanied by changes in the brain's cortex at many levels. There is growing i...
Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical ou...
A fundamental problem of supervised learning algorithms for brain imaging applications is that the n...
OBJECTIVE: To compare the safety and accuracy of manual and robot-assisted cortical bone trajectory ...