Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Large language models for mental health

Digital technologies have long been explored as a complement to standard procedure in mental healt...

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can ove...

Nov 2024 39480333
Leveraging normative personality data and machine learning to examine the brain structure correlates of obsessive-compulsive personality disorder traits.

Brain structure correlates of obsessive-compulsive personality disorder (OCPD) remain poorly underst...

Nov 2024 39480334
Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Within-disorder heterogeneity complicates mapping the neurobiological features of psychopathology to...

Nov 2024 39480336
Topological and Graph Theoretical Analysis of Dynamic Functional Connectivity for Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a prevalent neurological disorder. However, the multi-faceted sy...

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Electroencephalography (EEG)-based attention disorder research seeks to understand brain activity ...

Advanced Gesture Recognition in Autism: Integrating YOLOv7, Video Augmentation and VideoMAE for Video Analysis

Deep learning and advancements in contactless sensors have significantly enhanced our ability to u...

Learning Image Derived PDE-Phenotypes from fMRI Data

Partial Differential Equations (PDEs) model various physical phenomena, such as electromagnetic fi...

AI-Driven Early Mental Health Screening: Analyzing Selfies of Pregnant Women

Major Depressive Disorder and anxiety disorders affect millions globally, contributing significant...

Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders

The insufficient supervision limit the performance of the deep supervised models for brain disease...

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models

Introduction Schizophrenia is a severe mental disorder, and early diagnosis is key to improving ou...

ScriptViz: A Visualization Tool to Aid Scriptwriting based on a Large Movie Database

Scriptwriters usually rely on their mental visualization to create a vivid story by using their im...

HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks

Identifying unusual brain activity is a crucial task in neuroscience research, as it aids in the e...

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console.

SUMMARY: The vast generation of genetic data poses a significant challenge in efficiently uncovering...

Oct 2024 39115390
Feature-Prescribed Iterative Learning Control of Waggle Dance Movement for Social Motor Coordination in Joint Actions

Extensive experiments suggest that motor coordination among human participants may contribute to s...

Interpretation of SNP combination effects on schizophrenia etiology based on stepwise deep learning with multi-precision data.

Schizophrenia genome-wide association studies (GWAS) have reported many genomic risk loci, but it is...

Sep 2024 37738675
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