Latest AI and machine learning research in adhd/add for healthcare professionals.
Unused medications have the possibility of being abused, causing serious harm to individuals who wer...
OBJECTIVE: In adulthood, the diagnosis of attention-deficit/hyperactivity disorder (ADHD) has been s...
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among chil...
Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit throug...
3,4- methylenedioxymethamphetamine (MDMA) is a chemical derivative of amphetamine that can induce l...
Existing deformable registration methods require exhaustively iterative optimization, along with car...
Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in s...
The cortico-striatal-thalamo-cortical (CSTC) pathway is a brain circuit that controls movement execu...
Water quality monitoring is a complex issue that requires support tools in order to provide informat...
Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) together affect >...
BACKGROUND: Organ-mounted robots passively compensate heartbeat and respiratory motion. In model-gui...
BACKGROUND: Systematic reviews are a key part of healthcare evaluation. They involve important pains...
Excavating from small samples is a challenging pharmacokinetic problem, where statistical methods ca...
When the brain is not engaged in goal-directed activities and at rest, there are still measureable p...
In HIV-infected, combination antiretroviral therapy (cART)-treated patients, immune activation and m...
Electrophysiological recordings from human muscles can serve as control signals for robotic rehabili...
Citation and coauthor networks offer an insight into the dynamics of scientific progress. We can als...
Large epidemiological studies have shown a consistent increased risk for developing lymphoma in the ...
Transmembrane proteins (TMPs) are important drug targets because they are essential for signaling, r...
In this paper, we propose an unsupervised incremental learning neural network based on local distrib...
Problematic internet use is common, functionally impairing, and in need of further study. Its relati...