Latest AI and machine learning research in geriatrics for healthcare professionals.
The ergonomic design study of artificial intelligence lower limb-assisted brace for the elderly is a...
In recent years, studies on the use of natural language processing (NLP) approaches to identify deme...
Accurate prediction of clinical scores (of neuropsychological tests) based on noninvasive structural...
OBJECTIVES: This study was performed to develop computer-aided screening systems that could predict ...
OBJECTIVE: While the use of biomarkers for the detection of early and preclinical Alzheimer's Diseas...
BACKGROUND: An injurious fall is one of the main indicators of care quality in healthcare facilities...
OBJECTIVE: To critically appraise and quantify the performance studies by employing machine learning...
Traditional grain size determination in materials characterization involves microscopy images and a ...
Biomimetic machines able to integrate with natural and social environments will find ubiquitous appl...
Synthesis planning and reaction outcome prediction are two fundamental problems in computer-aided or...
The near-surface temperature prediction (NTP) is an important spatial-temporal forecast problem, whi...
Falls pose a great danger to social development, especially to the elderly population. When a fall o...
BACKGROUND AND OBJECTIVE: The specific aim of this study is to develop machine learning models as a ...
Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In th...
In this study, a D-galactose-induced aging mouse model was established, and Syringa oblata Lindl. ex...
Indoor place category recognition for a cleaning robot is a problem in which a cleaning robot predic...
PURPOSE: Imaging studies about the relevance of muscles in spinal disorders, and sarcopenia in gener...
The next whooping revolution after the Internet is its scion, the Internet of Things (IoT), which ha...
Population aging and pandemics have been shown to cause the isolation of elderly people in their hou...
The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and en...
In this work, a dedicated end-to-end deep convolutional neural network, named as Triple-CBCT, is pro...