Psychiatry

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

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Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...

Aug 2014 25109600
Diagnostic classification of specific phobia subtypes using structural MRI data: a machine-learning approach.

While neuroimaging research has advanced our knowledge about fear circuitry dysfunctions in anxiety ...

Jul 2014 25037587
Integrating socially assistive robotics into mental healthcare interventions: applications and recommendations for expanded use.

As a field, mental healthcare is faced with major challenges as it attempts to close the huge gap be...

Jul 2014 25462112
Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Feature selection is an important step in many pattern recognition systems aiming to overcome the so...

Apr 2014 24733718
Surfacing Suicidal Risk Through Simulated Social Interaction: Per-Person Language Model Agents as Communicative Stress Tests

Suicidal risk may be encoded in everyday communication patterns but diluted in routine digital inter...

Asymmetric neural dynamics of visuospatial attention in autism spectrum disorder

Background: Selective attention enables the prioritization of behaviorally relevant information in c...

Neuroanatomical dimensions in recent-onset depression: clinical profiles, inflammatory markers, and proteomic ageing

Background: Major depressive disorder (MDD) is clinically heterogeneous, hindering identification of...

Reproducibility of electroencephalography alpha band biomarkers for diagnosis of major depressive disorder

Major depressive disorder (MDD) and other psychiatric diseases can greatly benefit from objective de...

Distinct associations between multimodal brain measures and psychopathology domains predict adolescent functioning

Adolescent psychopathology is partly rooted in measurable disruptions across key neural networks, ye...

AI Chatbots as Emerging Tools in Youth Mental Health Help-Seeking: Insights from New Jersey Youth

Youth in the United States are experiencing growing mental health challenges, yet many face barriers...

Phenotypic Profiles of Suicidal Ideation in Obsessive-Compulsive Disorder: An Interpretable Machine Learning Approach

Suicidal ideation in obsessive-compulsive disorder (OCD) is common and clinically significant, yet m...

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina

Comprehensive wiring diagrams from electron microscopy (EM) are a powerful tool to understand the in...

The heritability of reinforcement learning parameters and their association with anxiety

Impaired learning that both novel and previously dangerous stimuli are safe (safety and extinction l...

Random Forest Model for Predicting Post-Lockdown Antenatal Depression Risk: A Cross-Sectional Study of Pregnant Women in China

Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infecti...

AI-based Psychiatric Prediction in Youth: Neuroimaging Provides Minimal Gains Beyond Confounds

Recent advances in artificial intelligence (AI) have raised interest in its potential to similarly p...

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis

Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and di...

Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia Data

Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with si...

First, do no harm: Breaking suicidogenic echo chambers in media recommendation

Recommender systems generally optimises user engagement, but this approach is dangerous in mental he...

Predicting Substance Use and Psychotic-Like Experiences in Adolescents

Adolescence is a critical developmental window for the emergence of substance use and psychosis-spec...

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