Latest AI and machine learning research in geriatrics for healthcare professionals.
PURPOSE: To validate the diagnostic performance of commercially available, deep learning-based autom...
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 development of the advanced metering infrastructure (AMI) and the application of artificial inte...
The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagn...
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which allows us to...
OBJECTIVES: This study aimed to examine the effect of 8-weeks of a 60-minute PARO intervention to re...
Education using humanoid robots can have a positive impact in many fields, including in medical or p...
BACKGROUND: Dementia is a global public health priority due to rapid growth of the aging population....
Benefiting from the powerful expressive capability of graphs, graph-based approaches have been popul...
Establishing a scientific and sustainable grading nursing care evaluation system is the key to reali...
Machine learning (ML) is increasingly being used to guide drug discovery processes. When applying ML...
Osteoporosis is still a worldwide problem, particularly due to associated fragility fractures. Patie...
We propose a conceptually simple, general framework and end-to-end approach to point cloud completio...
A segmentation method for pre-impact fall detection data is investigated. Specifically, it studies h...
OBJECTIVES: In nursing homes, narrative data are collected to evaluate quality of care as perceived ...
BACKGROUND: RNA secondary structure is very important for deciphering cell's activity and disease oc...
The invention describes a deep learning-based technique for monitoring power grid information operat...