Latest AI and machine learning research in neurology for healthcare professionals.
This study presents a machine learning approach applied to ElectroEnchephaloGraphic (EEG) response in a group of subjects when exposed to a controlled olfactory stimulation experiment. In the literature, in fact, there are controversial results on EEG response to odorants. This study proposes a robust leave-one-subject-out classification method to recognize features extracted from EEG signals belo...
Lead (Pb) which plays a significant role in modern industry is related to a broad range of physiological, biochemical, behavioural and genetical dysfunctions. Its exposure leads to an increased frequency of genetic aberrations in humans. Hence, this study was designed to assess the genotoxic effect of lead acetate at three dosage levels (10, 25 and 50 µg/mL) by employing: the Cytokinesis Block Mic...
BACKGROUND: After cervical spinal cord injury, current options for treatment of upper extremity motor functions have been limited to traditional appro...
We present a comparative split-half resampling analysis of various data driven feature selection and classification methods for the whole brain voxel-...
The Gene Ontology (GO) is widely recognised as the gold standard bioinformatics resource for summarizing functional knowledge of gene products in a co...
OBJECTIVES: To identify the site that emulsified sevoflurane influences in the nerve system.
Despite aggressive conventional therapy, lasting hemiplegia persists in a large percentage of stroke survivors. The aim of this article is to critical...
Papillary fibroelastomas of the mitral chordae tendineae are rare, primary benign tumors. They are either incidentally diagnosed during echocardiograp...
Robots are increasingly used as scientific tools to investigate animal locomotion. However, designing a robot that properly emulates the kinematic and...
INTRODUCTION: Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amyloid plaques and tangles and a high incidence of d...
BACKGROUND: Patients with the postural instability and gait difficulty subtype (PIGD) of Parkinson's disease (PD) are a refractory challenge in clinic...
Understanding structural changes in the brain that are caused by a particular disease is a major goal of neuroimaging research. Multivariate pattern a...
Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their enti...
BACKGROUND: Prosthetic replacement after amputation or loss of function of the upper extremity has gained therapeutic value over the last years. The c...
The Hokkaido Medical Society is a group of doctors and medical researchers in Hokkaido. Its purpose is to contribute to medicine and to the improvemen...
If you read the news either as hard copy or online I am sure that you notice reports about the presence and use of robots more frequently; and often t...
OBJECTIVE: To summarize the research progress of peripheral nerve surgery assisted by Da Vinci robotic system.
Poor and monotonous work could easily lead to a decrease of arousal level of the monitoring work personnel. In order to improve the performance of mon...
The purpose of this study was to evaluate the International Classification of Functioning, Disability and Health (ICF) as a framework to ensure that k...
New technologies offer innovations to improve the care of the elderly with Alzheimer's or and other forms of dementia. Robots, endowed with features s...