Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Miscellaneous features from various domains are accepted to be associated with the risk of falling in the elderly. However, only few studies have focused on establishing clinical tools to predict the risk of the first fall onset. A model that would objectively and easily evaluate the risk of a first fall occurrence in the coming year still needs to be built.
Falls are the leading cause of injury-related morbidity and mortality among older adults. Over 90Â % of hip and wrist fractures and 60Â % of traumatic brain injuries in older adults are due to falls. Another serious consequence of falls among older adults is the 'long lie' experienced by individuals who are unable to get up and remain on the ground for an extended period of time after a fall. Consid...
Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressure at the end of expiration (PEEP) to avoid lung co...
Alzheimer's disease is a degenerative brain disease that results in cardinal memory deterioration and significant cognitive impairments. The early tre...
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the applicati...
The aging of the voice, known as presbyphonia, is a natural process that can cause great change in vocal quality of the individual. This is a relevant...
In this paper we described the telepresence robot system designed to improve the well-being of elderly by supporting them to do daily activities indep...
There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a symbolic, top-down approach vs. a neural, bottom-up a...
In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilat...
BACKGROUND: A variety of group activities is promoted for nursing home (NH) residents with dementia with the aim to reduce apathy and to increase enga...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modal...
The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms ...
Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for early Alzheimer's disease (AD) diagnosis. In this...
In order to look more closely at the many particular skills examinees utilize to answer items, cognitive diagnosis models have received much attention...
The human brain undergoes complex reorganization and changes during aging. Using graph theory, scientists can find differences in topological properti...
OBJECTIVE: Despite the multitude of longitudinal neuroimaging studies that have been published, a basic question on the progressive brain loss in schi...
Understanding the progression of chronic diseases can empower the sufferers in taking proactive care. To predict the disease status in the future time...
In the modern world, due to an increased aging population, hand disability is becoming increasingly common. The prevalence of conditions such as strok...
Normal aging results in alterations in the visual, vestibular and somtaosensory systems, which in turn modify the control of balance. Muscle fatigue m...
Identification of drug-target interactions (DTI) is a central task in drug discovery processes. In this work, a simple but effective regularized least...