Latest AI and machine learning research in geriatrics for healthcare professionals.
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...
Interventional pharmacology is one of medicine's most potent weapons against disease. These drugs, h...
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...
PURPOSE: Manual feedback from senior surgeons observing less experienced trainees is a laborious tas...
This study aims to present the stages related to the use of machine learning algorithms for predicti...
BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency depa...
While convolutional neural network (CNN) has been demonstrating powerful ability to learn hierarchic...
RATIONALE AND OBJECTIVES: To develop and evaluate an automated machine learning (ML) algorithm for s...
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...
To conduct a survey on the research and development of cable-driven rehabilitation devices (CDRDs)....
Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising ...
Automated identification and localization of vertebrae in spinal computed tomography (CT) imaging is...
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 ...
First published in 2016, predictors of chronological and biological age developed using deep learnin...
INTRODUCTION: With the increase in the population of older adults around the world, a significant am...