Latest AI and machine learning research in geriatrics for healthcare professionals.
Postural control decreases with aging. Thus, an efficient and accurate method of detecting postural ...
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We in...
White matter hyperintensities (WMHs) are abnormal signals within the white matter region on the huma...
People living with dementia (PLwD) often exhibit behavioral and psychological symptoms, such as epis...
OBJECTIVE: To examine the expectations of informal caregivers, nurses, and dementia trainers regardi...
The automatic diagnosis of Alzheimer's disease plays an important role in human health, especially i...
The growing number of recording sites of silicon-based probes means that an increasing amount of neu...
Although progress is being made in affective computing, issues remain in enabling the effective expr...
Acetylcholinesterase enzyme is responsible for the degradation of acetylcholine and is an important ...
Using strategies that obtain biomarkers where early symptoms coincide, the early detection of Alzhei...
Several studies have reported that stroke survivors displayed improved voluntary planar movements wh...
PURPOSE: Fractures in vertebral bodies are among the most common complications of osteoporosis and o...
Deep learning architectures are an extremely powerful tool for recognizing and classifying images. H...
To study genetic factors associated with brain aging, we first need to quantify brain aging. Statist...
Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully automated de...
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
Drug designing and development is an important area of research for pharmaceutical companies and che...
Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventi...
Pollinators are undergoing a global decline. Although vital to pollinator conservation and ecologica...
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...
Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...