Latest AI and machine learning research in neurology for healthcare professionals.
Variability is a prominent characteristic of cognitive brain function. For instance, different trials of presentation of the same stimulus yield higher variability in its perception: subjects sometimes fail in perceiving the same stimulus. Perceptual variability could be attributable to ongoing-spontaneous fluctuation in neuronal activity prior to sensory stimulation. Simulating a cortical neural ...
Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric disorders (e.g., Alzheimer's disease, Parkinson's diseases, and autism). In this paper, we have proposed a novel automatic approach using wavelet-based conditional symmetric analysis and regularized morphological shared-weight neural networks (RMSNN) for...
To facilitate the development of future shoulder endoprostheses, a long term load profile of the shoulder joint is desired. A musculoskeletal model us...
This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient de...
We aimed to investigate the association between serum 25-hydroxyvitamin D (25[OH]D) and microvascular complications in type 2 diabetes mellitus (T2DM)...
BACKGROUND: Brain activity has been shown to undergo cortical and sub-cortical functional reorganisation over the course of gait rehabilitation in pat...
The purpose of this study was to determine whether a conventional robot-assisted therapy of the upper limb was able to improve proprioception and moto...
Numerous studies have suggested that neuronal cells are protected against oxidative stress-induced cell damage by antioxidants, such as polyphenolic c...
Depression is a complex clinical entity that can pose challenges for clinicians regarding both accurate diagnosis and effective timely treatment. Thes...
BACKGROUND AND PURPOSE: Developing a better understanding of the trajectory and timing of stroke recovery is critical for developing patient-centered ...
The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. Such da...
Cerebrospinal fluid (CSF) concentrations of YKL-40 that serve as biomarker of neuroinflammation are known to be altered along the clinico-biological c...
A 60-year-old man initially presented with pain in the right upper quadrant in October 2010. A computed tomography (CT) scan of the abdomen pelvis com...
BACKGROUND: Robot-assisted therapy (RT) is a widely used intervention approach to enhance motor recovery in patients after stroke, but its effects on ...
Gait variability reflects important information for the maintenance of human beings' health. For pathological populations, changes in gait variability...
This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected...
A growing body of literature suggests that changes in consciousness are reflected in specific connectivity patterns of the brain as obtained from rest...
INTRODUCTION: Botulinum toxin injection (BTI) has been advocated as a second line therapy in management of neuropathic bladder in pediatric population...
The Clock Drawing Test - a simple pencil and paper test - has been used for more than 50 years as a screening tool to differentiate normal individuals...
Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, is very important for early treatment. Over the la...