Pediatrics

ADHD/ADD

Latest AI and machine learning research in adhd/add for healthcare professionals.

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Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes.

Polygenic risk scores (PRSs), which sum the effects of SNPs throughout the genome to measure risk af...

Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. ...

Speech production as an artificial intelligence-based 'process' measure of cognition sensitive to mild cognitive impairment and Alzheimer's disease.

Process scores in neuropsychological tests add incremental validity for detecting non-normative cog...

A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.

In recent years, societies and governments worldwide have increasingly focused on addressing the rig...

Multi-scale fusion semantic enhancement network for medical image segmentation.

The application of sophisticated computer vision techniques for medical image segmentation (MIS) pla...

Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome.

Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies...

Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a...

Short Research Article: Evaluation of an artificial intelligence language model in psychiatric patient education.

BACKGROUND: The incorporation of artificial intelligence (AI) and machine learning (ML) into medicin...

BrainCHEF: Cross-Level Hypergraph Enhanced Fusion model for brain networks.

Modeling the dynamic characteristics of functional brain networks is of great significance for uncov...

InvitedĀ Response to "Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?".

The integration of artificial intelligence (AI) into surgical practice demands critical reflection-n...

Coordinated Residue Motions at the Enzyme-Substrate Interface Promote DNA Translocation in Polymerases.

The translocation of DNA in polymerase (Pol) enzymes is a critical step for Pol-mediated nucleic aci...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...

Attention-driven deep learning framework for EEG analysis in ADHD detection.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects cognit...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antih...

Applications of visualization technology in the structural sciences.

The structural sciences are undergoing a transformation driven by advancements in visualization tech...

Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach.

BACKGROUND: The diagnosis of attention deficit hyperactivity disorder (ADHD) relies on comprehensive...

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...

Constructing segmentation method for wheat powdery mildew using deep learning.

Powdery mildew is an important factor affecting wheat yield and global food security as well as a le...

Exploring voice as a digital phenotype in adults with ADHD.

Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subject...

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