Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Dialog agents (chatbots) have a long history of application in health care, where they h...
Alzheimer's disease (AD) is the most common cause of dementia and a progressive neurodegenerative co...
The topic of sparse representation of samples in high dimensional spaces has attracted growing inter...
The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzh...
Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurod...
BACKGROUND: Intracranial aneurysms (IAs) are common in the population and may cause death.
In this article, we present a real-time electroencephalogram (EEG) based depth of anesthesia (DoA) m...
This study aims to develop a prototype of an autonomous robotic device to assist the locomotion of t...
Tracklet association methods learn the cross camera retrieval ability though associating underlying ...
PURPOSE: The purpose of this study was to build and train a deep convolutional neural networks (CNN)...
Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus fa...
Health and social care services are crucial to old people. The provision of services to the elderly ...
Pressure injuries represent a major concern in many nations. These wounds result from prolonged pres...
Predicting biomedical outcomes from Magnetoencephalography and Electroencephalography (M/EEG) is cen...
Accurate assessment of renal function is essential in hospitalized elderly patients. Few studies ha...
BACKGROUND: Kidney disease is a frequent but underestimated complication in patients suffering from ...
At present, risk assessment for alcohol withdrawal syndrome relies on clinical judgment. Our aim was...
This paper presents a new deep regression model, which we call DeepDistance, for cell detection in i...
Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI...
Aging has pronounced effects on blood laboratory biomarkers used in the clinic. Prior studies have l...
Alzheimer's disease (AD) is associated with disruptions in brain activity and networks. However, the...