Psychiatry

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

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Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis

Neuro-developmental disorders are manifested as dysfunctions in cognition, communication, behaviou...

Local Temporal Feature Enhanced Transformer with ROI-rank Based Masking for Diagnosis of ADHD

In modern society, Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the common mental dis...

Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries

The ubiquity and widespread use of digital and online technologies have transformed mental health ...

A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification

In open data sets of functional magnetic resonance imaging (fMRI), the heterogeneity of the data i...

Leveraging Large Language Models for Cost-Effective, Multilingual Depression Detection and Severity Assessment

Depression is a prevalent mental health disorder that is difficult to detect early due to subjecti...

MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions

Understanding how urban socio-demographic and environmental factors relate with health is essentia...

Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in childre...

Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches

Computational mental health research develops models to predict and understand psychological pheno...

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks

Quantifying functional connectivity (FC), a vital metric for the diagnosis of various brain disord...

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health.

Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...

Apr 2025 39932872
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System

Large language models (LLMs) have been widely used for various tasks and applications. However, LL...

Leveraging Embedding Techniques in Multimodal Machine Learning for Mental Illness Assessment

The increasing global prevalence of mental disorders, such as depression and PTSD, requires object...

Neural dynamics of mental state attribution to social robot faces.

The interplay of mind attribution and emotional responses is considered crucial in shaping human tru...

Apr 2025 40066991
Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models

Post-Traumatic Stress Disorder (PTSD) remains underdiagnosed in clinical settings, presenting oppo...

A Framework for Comparison and Interpretation of Machine Learning Classifiers to Predict Autism on the ABIDE Dataset.

Autism is a neurodevelopmental condition affecting ~1% of the population. Recently, machine learning...

Apr 2025 40095417
Generative AI and the profession of genetic counseling.

The development of artificial intelligence (AI) including generative large language models (LLMs) an...

Apr 2025 40110624
Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.

Online self-guided interventions appear efficacious for alleviating some mental health concerns. How...

Apr 2025 40261245
NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text

Integrating functional magnetic resonance imaging (fMRI) connectivity data with phenotypic textual...

AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models

Psychodynamic conflicts are persistent, often unconscious themes that shape a person's behaviour a...

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