AIMC Topic: Attention Deficit Disorder with Hyperactivity

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Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study.

BMC medical informatics and decision making Aug 5, 2025
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder. Gender disparities in the diagnosis of ADHD have been reported, suggesting that females tend to be diagnosed later in life than males are. The...
Humans Machine Learning Child Sex Factors Attention Deficit Disorder with Hyperactivity Female Male Adolescent
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Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Scientific reports Jul 8, 2025
Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. We address this problem by pursuing the hypothesis that there is important cognitive information about NDD conditions contained in the way individuals...
Humans Autism Spectrum Disorder Severity of Illness Index Deep Learning Adolescent Child Attention Deficit Disorder with Hyperactivity Adult Biomechanical Phenomena Male Female Young Adult
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Redefining parameter-efficiency in ADHD diagnosis: A lightweight attention-driven kolmogorov-arnold network with reduced parameter complexity and a novel activation function.

Psychiatry research. Neuroimaging Jun 13, 2025
As deep learning continues to advance in medical analysis, the increasing complexity of models, particularly Convolutional Neural Networks (CNNs), presents significant challenges related to interpretability, computational costs, and real-world applic...
Attention Deficit Disorder with Hyperactivity Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Humans
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Exploring voice as a digital phenotype in adults with ADHD.

Scientific reports May 24, 2025
Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subjective and prone to bias. While research on potential biomarkers, including EEG, brain imaging, and genetics is promising, it has yet to demonstrate clin...
Attention Deficit Disorder with Hyperactivity Adult Male Middle Aged Case-Control Studies Speech Voice Phenotype Humans Female Young Adult
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Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data.

Journal of medical Internet research May 20, 2025
BACKGROUND: Social media platforms have witnessed a substantial increase in mental health-related discussions, with particular attention focused on attention-deficit/hyperactivity disorder (ADHD) and autism. This heightened interest coincides with gr...
Attention Deficit Disorder with Hyperactivity Humans Social Media Autistic Disorder Linguistics
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Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 29, 2025
Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods either combine clinical information to assist analysis or use data augmentation for sample expansion, ign...
Male Humans Neurodevelopmental Disorders Adolescent Neural Networks, Computer Autism Spectrum Disorder Child Electroencephalography Machine Learning Female Algorithms Autoencoder Attention Deficit Disorder with Hyperactivity
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Artificial intelligence for children with attention deficit/hyperactivity disorder: a scoping review.

Experimental biology and medicine (Maywood, N.J.) Apr 24, 2025
Attention deficit/hyperactivity disorder is a common neuropsychiatric disorder that affects around 5%-7% of children worldwide. Artificial intelligence provides advanced models and algorithms for better diagnosis, prediction and classification of att...
Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Machine Learning Humans Algorithms Artificial Intelligence Child
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Functional connectivity anomalies in medication-naive children with ADHD: Diagnostic potential, symptoms interpretation, and a mediation model.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Apr 18, 2025
OBJECTIVE: To identify reliable electroencephalography (EEG) biomarkers for attention deficit/hyperactivity disorder (ADHD) by investigating anomalous functional connectivity patterns and their clinical relevance.
Female Male Child Humans Attention Deficit Disorder with Hyperactivity Support Vector Machine Electroencephalography Nerve Net
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Automated ADHD detection using dual-modal sensory data and machine learning.

Medical engineering & physics Mar 24, 2025
This study explores using dual-modal sensory data and machine learning to objectively identify Attention-Deficit/Hyperactivity Disorder (ADHD), a neurodevelopmental disorder traditionally diagnosed through subjective clinical evaluations. Six machine...
Humans Automation Machine Learning Attention Deficit Disorder with Hyperactivity Female Adolescent Male Child Heart Rate
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Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test Reports.

Journal of Korean medical science Mar 24, 2025
BACKGROUND: Psychological test reports are essential in assessing intellectual functioning, aiding in diagnosing and treating intellectual disability (ID) and attention-deficit/hyperactivity disorder (ADHD). However, these reports can have several pr...
Humans Machine Learning Attention Deficit Disorder with Hyperactivity Female Psychological Tests Adult Child Natural Language Processing Intellectual Disability Male Adolescent
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