Latest AI and machine learning research in geriatrics for healthcare professionals.
OBJECTIVE: To critically appraise and quantify the performance studies by employing machine learning...
Background Models predicting atrial fibrillation (AF) risk, such as Cohorts for Heart and Aging Rese...
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...
We report a complete deep-learning framework using a single-step object detection model in order to ...
BACKGROUND AND OBJECTIVE: The specific aim of this study is to develop machine learning models as a ...
Aiming to avoid personal injury caused by the failure of timely medical assistance following a fall ...
Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In th...
PURPOSE: Attenuation correction is a critically important step in data correction in positron emissi...
In this study, a D-galactose-induced aging mouse model was established, and Syringa oblata Lindl. ex...
PURPOSE: Imaging studies about the relevance of muscles in spinal disorders, and sarcopenia in gener...
Indoor place category recognition for a cleaning robot is a problem in which a cleaning robot predic...
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...
PURPOSE: Coronary computed tomographic angiography (CCTA) plays a vital role in the diagnosis of car...
We are now well into the information driven age with complex, heterogeneous, datasets in the biologi...