Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …

An essential yet challenging task is an automatic diagnosis of attention-deficit/hyperactivity
disorder (ADHD) without manual intervention. The present study emphasises utilizing …

There have been increasing efforts to develop prediction models supporting personalised
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …

Artificial intelligence (AI) for medical imaging is a technology with great potential. An in-
depth understanding of the principles and applications of magnetic resonance imaging …

Introduction Attention-deficit/hyperactivity disorder (ADHD) is one of the most common
neurodevelopmental conditions and is highly heterogeneous in terms of symptom profile …

Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent
neurodevelopmental disease of school-age children. Early diagnosis is crucial for ADHD …

Parkinson's disease (PD) is the second most common neurological disease having no
specific medical test for its diagnosis. In this study, we consider PD detection based on …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …