Latest AI and machine learning research in geriatrics for healthcare professionals.
OBJECTIVES: This study designed and evaluated an end-to-end deep learning solution for cardiac segme...
Research on control strategies for rehabilitation robots has gradually shifted from providing therap...
OBJECTIVE: Companion robots, such as Paro, may reduce agitation and depression for older people with...
Behavior identification plays an important role in supporting homecare for the elderly living alone....
OBJECTIVES: This research is part of an international project to design and test a home-based health...
INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An e...
The goal of this study is to estimate micro-architectural parameters of cortical porosity such as po...
The path signature is a means of feature generation that can encode nonlinear interactions in data i...
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting o...
This paper describes the process of adapting the Stanford Coreference resolution module to the Basqu...
INTRODUCTION: Given their major health consequences in the elderly, identifying people at risk of fa...
F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topograp...
The rapid development of deep learning, a family of machine learning techniques, has spurred much in...
Human falls are the premier cause of fatal and nonfatal injuries among older adults. The health outc...
For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground ...
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...
Sarcopenia is an age-related multifactorial process that involved several biological mechanisms, who...
The kinome-wide virtual profiling of small molecules with high-dimensional structure-activity data i...
Mild cognitive impairment (MCI) is an intermediate stage of brain cognitive decline, associated with...