Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: In plants, long non-protein coding RNAs are believed to have essential roles in developm...
INTRODUCTION: The aim of this study was to build and validate five types of machine learning models ...
In recent years, human activity recognition from body sensor data or wearable sensor data has become...
OBJECTIVES: To explore whether severity of cognitive impairment and agitation of older people with d...
Robotic rehabilitation is a promising approach to treat individuals with neurological or orthopedic ...
BACKGROUND: The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) developed a neuro...
Acute ischemic stroke is recognized as a common cerebral vascular disease in aging people. Accurate ...
OBJECTIVE: Delirium is an important syndrome found in patients in the intensive care unit (ICU), how...
Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide a new ...
Early diagnosis is critical for individuals with Alzheimer's disease (AD) in clinical practice becau...
Discriminating Alzheimer's disease (AD) from its prodromal form, mild cognitive impairment (MCI), is...
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite...
Executive functions, a set of cognitive processes that enable flexible behavioral control, are known...
To develop a new method for measuring Alzheimer's disease (AD)-specific similarity of cortical atrop...
BACKGROUND: There is a spectrum of the progression from healthy control (HC) to mild cognitive impai...
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases with a commonly seen p...
In the context of the ageing global population, researchers and scientists have tried to find soluti...
OBJECTIVE: With an elderly population that is set to more than double by 2050 worldwide, there will ...
Nowadays, due to the growing need for remote care and the constantly increasing popularity of mobile...
Autonomous agents are being widely used in many systems, such as ambient assisted-living systems, to...
BACKGROUND: The International Challenge for Automated Prediction of MCI from MRI data offered indepe...