Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND AND OBJECTIVE: Accurate detection of vessel bifurcation points from mesoscopic whole-brai...
BACKGROUND: Structural variations (SVs) occupy a prominent position in human genetic diversity, and ...
IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids...
Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions, includi...
BACKGROUND: Glioblastoma is the commonest malignant brain tumour. Sarcopenia is associated with wors...
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteri...
Conditional Random Fields (CRFs) are often used to improve the output of an initial segmentation mod...
We designed a robotic architecture system within a commercially available socially assistive robot t...
Global aging is becoming more and more serious, and the nursing problems of the elderly will become ...
This paper provides an in-depth analysis and research on piano timbre teaching in the context of art...
AIM: This study aims to test the feasibility of the PainChek app to assess pain for people with deme...
Regional soft tissue mechanical strain offers crucial insights into tissue's mechanical function and...
With robots being introduced into caregiving, particularly for older persons, various ethical concer...
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...
Ageing is associated with various ailments including Alzheimer 's disease (AD), which is a progressi...
Electric shovels are widely used in the mining industry to dig ore, and the teeth in shovels' bucket...
BACKGROUND: Alzheimer's disease is a chronic neurodegenerative disease that destroys brain cells, ca...
INTRODUCTION: The regenerative capacity of mesenchymal stromal cells or medicinal signaling cells (M...
Major factors contribute to mental stress and enhance the progression of late-onset Alzheimer's dise...
PURPOSE: Development and performance measurement of a fully automated pipeline that localizes and se...
In recent years, 2D convolutional neural networks (CNNs) have been extensively used to diagnose neur...