Pediatrics

ADHD/ADD

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

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Exposotypes in psychotic disorders.

Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction c...

Improvements from incorporating machine learning algorithms into near real-time operational post-processing.

During regional seismic monitoring, data is automatically analyzed in real-time to identify events a...

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...

Impaired sensory-motor integration in children with attention-deficit/hyperactivity disorder during visual search.

OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder i...

Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization.

Absolute bacterial biomass estimation in the human gut is crucial for understanding microbiome dynam...

Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning based Image Segmentation.

For effective image segmentation, it is crucial to employ constraints informed by prior knowledge ab...

Studying the performance of YOLOv11 incorporating DHSA BRA and PPA modules in railway track fasteners defect detection.

With the development of railway transportation and the advancement of deep learning, object detectio...

Silicon Nanomembrane-Based Synaptic Photodetectors Activated by Phosphorescent Stacks.

Neuromorphic computing that mimics the human brain to realize efficient parallel information process...

Representation of Molecules by Sequences of Instructions.

The processing of chemical information by computational intelligence methods faces the challenge of ...

Wavelet-Attention deep model for pediatric ADHD diagnosis via EEG.

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in childr...

Automated Behavioral Profiling Using Neural Networks Reveals Differences in Stress-Like Behavior Between Cave and Surface-Dwelling Astyanax mexicanus.

Behavioral stress responses allow animals to quickly adapt to local environments and are critical fo...

DGEAHorNet: high-order spatial interaction network with dual cross global efficient attention for medical image segmentation.

Medical image segmentation is a complex and challenging task, which aims to accurately segment vario...

Ambulatory physiological state dynamics predict proximal behavioral markers of affect regulation in everyday life.

Human physiology reflects the body's capacity for self-regulation that is crucial for flexible adapt...

Spatial Frequency Modulation for Semantic Segmentation.

High spatial frequency information, including fine details like textures, significantly contributes ...

Perfluorooctanesulfonic acid (PFOS) antagonizes gamma-aminobutyric acid (GABA) receptors in larval zebrafish and mammalian models.

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals detected ubiquitously ...

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis...

Transformer-based structural connectivity networks for ADHD-related connectivity alterations.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder ...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pi...

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