Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
OBJECTIVES: This research is part of an international project to design and test a home-based health...
The path signature is a means of feature generation that can encode nonlinear interactions in data i...
F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topograp...
BACKGROUND: Given the complexity of providing dementia care in hospitals, integrating technology int...
Real time hand movement trajectory tracking based on machine learning approaches may assist the earl...
In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer's disease (A...
Mild cognitive impairment (MCI) is an intermediate stage of brain cognitive decline, associated with...
INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly re...
About 29.8 million people worldwide had been diagnosed with Alzheimer's disease (AD) in 2015, and th...
Neuroimaging and genetic biomarkers have been widely studied from discriminative perspectives toward...
OBJECTIVE: The aim of the study was to explore the feasibility of using telepresence robots to encou...
Accurate prediction of disease trajectories is critical for early identification and timely treatmen...
While convolutional neural network (CNN) has been demonstrating powerful ability to learn hierarchic...
OBJECTIVES: The aim of this study was to train and validate deep learning algorithms to quantitate r...
In recent studies, neuroanatomical volume and shape asymmetries have been seen during the course of ...
OBJECTIVE: Lipid peroxidation constitutes a molecular mechanism involved in early Alzheimer Disease ...
As the incidence of senile dementia continues to increase, researches on Alzheimer's disease (AD) ha...
BACKGROUND: Dementia is underdiagnosed in both the general population and among Veterans. This under...
BACKGROUND: Alzheimer's disease has become a public health crisis globally due to its increasing inc...
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts ...
Combining machine learning with neuroimaging data has a great potential for early diagnosis of mild ...