Latest AI and machine learning research in geriatrics for healthcare professionals.
Accurate identification and understanding informative feature is important for early Alzheimer's disease (AD) prognosis and diagnosis. In this paper, we propose a novel discriminative sparse learning method with relational regularization to jointly predict the clinical score and classify AD disease stages using multimodal features. Specifically, we apply a discriminative learning technique to expa...
BACKGROUND: The manual diagnosis of neurodegenerative disorders such as Alzheimer's disease (AD) and related Dementias has been a challenge. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. The use of several Machine Learning algorithms to build automated diagnostic models using low-level linguistic features resulting from ve...
Currently, an estimated 36 million people worldwide are affected by Alzheimer's disease or related dementias. In the absence of a cure, non-pharmacolo...
When the brain is not engaged in goal-directed activities and at rest, there are still measureable patterns of activity. One resting-state network, th...
BACKGROUND AND OBJECTIVES: Highly accurate classification of biomedical images is an essential task in the clinical diagnosis of numerous medical dise...
Healthy aging is typically accompanied by a decrease in the motor capacity. Although the disrupted neural representations and performance of movement ...
The urban population is growing at such a rate that by 2050 it is estimated that 84% of the world's population will live in cities, with flats being t...
Although there are reports of vitamin D (VitD) insufficiency in immune-mediated hypothyroidism, an association between VitD and thyroid-stimulating h...
Rey's Auditory Verbal Learning Test (RAVLT) is a powerful neuropsychological tool for testing episodic memory, which is widely used for the cognitive ...
The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In ...
. Serum cystatin C seems to be an accurate marker of glomerular filtration rate (GFR) compared to serum creatinine. The aim of this work was to explor...
OBJECTIVES: Social robots such as Paro, a therapeutic companion robot, have recently been introduced into dementia care as a means to reduce behaviour...
Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are tightly regulated and coupled under healthy conditio...
This paper presents a brain T1-weighted structural magnetic resonance imaging (MRI) biomarker that combines several individual MRI biomarkers (cortica...
Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from usi...
This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people th...
Although the use of pet robots in senior living facilities and day-care centres, particularly for individuals suffering from dementia, has been intens...
OBJECTIVES: To construct an artificial neural network (ANN) model that can predict the presence of acute CT findings with both high sensitivity and hi...
BACKGROUND: Adrenal incidentalomas (AI) are clinically silent adrenal masses that are detected incidentally during imaging procedures performed for un...
In this paper, we address the problem of detecting human falls using anomaly detection. Detection and classification of falls are based on acceleromet...