Latest AI and machine learning research in geriatrics for healthcare professionals.
. Neuroimaging uncovers important information about disease in the brain. Yet in Alzheimer's disease...
BACKGROUND: As the number of conventional radiographic examinations in pediatric emergency departmen...
BACKGROUND: Age is the strongest risk factor for dementia and there is considerable interest in iden...
Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses...
It is a challenging task to track objects moving along an unknown trajectory. Conventional model-bas...
AIM: This study used machine learning methods to develop a prediction model for knee pain in middle-...
The case assignment system is an essential system of case management and assignment within the procu...
Addressing the problems facing the elderly, whether living independently or in managed care faciliti...
Age-related cognitive impairment is multifactorial, with numerous underlying and frequently co-morbi...
INTRODUCTION: Dementia has become one of the significant causes of disability and dependency among o...
Rapid progress in artificial intelligence (AI) places a new spotlight on a long-standing question: h...
Several neuronal mechanisms have been proposed to account for the formation of cognitive abilities t...
Patients with Mild Cognitive Impairment (MCI) have an increased risk of Alzheimer's disease (AD). Ea...
PURPOSE: To validate the diagnostic performance of commercially available, deep learning-based autom...
With the rapid rise of artificial intelligence, smart senior care has become a new trend for future ...
Text spotting in natural scene images is of great importance for many image understanding tasks. It ...
In the wake of COVID-19, the digital fitness market combining health equipment and ICT technologies ...
PURPOSE: Many high-risk osteopenia and osteoporosis patients remain undiagnosed. We proposed to cons...
This perceptual study focuses on developing artificial intelligence for elderly care design. It anal...
Although current research aims to improve deep learning networks by applying knowledge about the hea...
The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagn...