Latest AI and machine learning research in geriatrics for healthcare professionals.
PURPOSE: The shape of the mandible has been analyzed in a variety of fields, whether to diagnose con...
Most existing Electrocardiogram (ECG) classification methods assume that all arrhythmia classes are ...
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to...
BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies hav...
Measures of change in hippocampal volume derived from longitudinal MRI are a well-studied biomarker ...
Millions of people suffer from a decline in grip strength and hand function due to conditions such a...
Falls are a common risk and impose severe threats to both humans and humanoid robots as a product of...
INTRODUCTION: The growing number of stroke survivors with residual hand disabilities requires the de...
BACKGROUND: In aged skin, reactive oxygen species (ROS) induces degradation of the extracellular mat...
Traditionally, analysis of neuropathological markers in neurodegenerative diseases has relied on vis...
Semantic segmentation is one of the essential prerequisites for computer vision tasks, but edge-prec...
: A few deep learning studies have reported that combining image features with patient variables enh...
Sarcopenia is associated with adverse clinical outcomes. CT-based skeletal muscle measurements for ...
Age-related macular degeneration (AMD) is a leading cause of severe vision loss. With our aging popu...
BACKGROUND: Osteoporosis may result from risk factors such as smoking, alcohol, low body mass index,...
Singapore is one of the first known countries to implement an individual-centric discharge process a...
OBJECTIVE: Resting-state functional connectivity reveals a promising way for the early detection of ...
Machine learning and artificial intelligence (AI) have arrived in medicine and the healthcare commun...
Balances in the energy sector have changed since the implementation of the Covid-19 pandemic lockdow...
Emotion recognition is an important research field for human-computer interaction. Audio-video emoti...
AIM: To determine whether an AI model and single sensor measuring acceleration and ECG could model c...