Latest AI and machine learning research in geriatrics for healthcare professionals.
The use of robots to assist feeding has become important for people with an impaired arm function. Y...
Assessment is critical during the procedure of stroke rehabilitation. However, traditional assessmen...
Glaucoma disease is optic neuropathy; in glaucoma, the optic nerve is damaged because the long durat...
Assistive technology (AT) with context-aware computing and artificial intelligence capabilities can ...
This study sought to develop basic robotic surgical skills among surgical trainees across multiple s...
PURPOSE: To develop and validate a deep learning system for diabetic retinopathy (DR) grading based ...
The skeleton is one of the most important organs in the human body in assisting our motion and activ...
Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading to a steady...
In the last 2 decades, multiple robotic camera holders have been developed to improve camera steerin...
Relating individual differences in cognitive traits to brain functional organization is a long-lasti...
Feedforward backpropagation artificial neural networks (ANNs) have been increasingly employed in man...
We have built a computational model for individual aging trajectories of health and survival, which ...
This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convo...
In biological systems, Glutamic acid is a crucial amino acid which is used in protein biosynthesis. ...
BACKGROUND: The advancement of science and technologies play an immense role in the way scientific e...
In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about subtyping ...
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to...
A 76-year-old lady was found on the floor following a fall at home. She was uninjured, but unable to...
 Type 2 diabetes mellitus (T2DM) associated with oxidative stress and inflammation causes endotheli...
We derived machine learning models utilizing features generated by natural language processing (NLP)...
In the past, most of the entity prediction methods based on embedding lacked the training of local c...