Latest AI and machine learning research in adhd/add for healthcare professionals.
Problematic internet use is common, functionally impairing, and in need of further study. Its relati...
Mirror therapy has been performed as effective occupational therapy in a clinical setting for functi...
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the ma...
Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and ne...
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral ...
Recombination is crucial for biological evolution, which provides many new combinations of genetic d...
BACKGROUND: Acute Kidney Injury (AKI) occurs in at least 5Â % of hospitalized patients and can result...
Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...
The reinforcing and motivational aspects of food are tied to the release of the dopamine in the meso...
Recent years have shown the critical importance of inter-regional neural network connectivity in sup...
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...
Motivated by neuroscience discoveries during the last few years, many studies consider pulse-coupled...
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being...
Impulsivity, i.e. irresistibility in the execution of actions, may be prominent in Parkinson's disea...
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate res...
OBJECTIVES: To investigate urodynamic efficacy and safety of mirabegron add-on treatment with tamsul...
Automated recognition and classification of brain diseases are of tremendous value to society. Atten...
The neuropsychology of attention deficit/hyperactivity disorder (ADHD) has been extensively studied,...
Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...
Phylogenetic inference is a common task in molecular and evolutionary biology and has conventionally...
Importance: Prenatal exposure to gestational diabetes mellitus (GDM) has been associated with advers...