Latest AI and machine learning research in geriatrics for healthcare professionals.
This study aimed to identify the optimal features of gait parameters to predict the fall risk level ...
PURPOSE: To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) recon...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a com...
As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurate...
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach ...
Older people are very likely to fall, which is a significant threat to the health. However, falls ar...
Simulation is increasingly being used to train surgeons and access technical competency in robotic s...
BACKGROUND: Osteoporosis is a gradually recognized health problem with risks related to disease hist...
Technology has become an integral part of everyday lives. Recent years have witnessed advancement in...
Background Group comparison results associating cortical thinning and Parkinson disease (PD) dementi...
Since the development of phase-contrast magnetic resonance imaging (PC-MRI), quantification of cereb...
PURPOSE: Our retrospective study is to investigate an end-to-end deep learning model in identifying ...
Cerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, ...
Fluid stewardship targets optimal fluid management to improve patient outcomes. Intravenous (IV) me...
People who have Alzheimer's disease neuropathologic change (ADNC) typically associated with dementia...
The process of aging and metabolism is intimately intertwined; thus, developing biomarkers related t...
OBJECTIVES: This study aims to understand the acceptability of social robots and the adaptation of t...
Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slo...
Many countries face major challenges to ensure that their health and social care systems are ready f...
Large-scale population-based studies in medicine are a key resource towards better diagnosis, monito...
Residue co-evolution has become the primary principle for estimating inter-residue distances of a pr...