Psychiatry

Mental Health Issues and 24-Hour Movement Guidelines-Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach.

BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platforms have led to unprecedented mental health challenges among college students, highlighting the critical need for effective intervention approaches.

Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements

Prolonged Exposure (PE) therapy is an effective treatment for post-traumatic stress disorder (PTSD), but evaluating therapist fidelity remains labor-intensive due to the need for manual review of session recordings. We present a method for the automatic temporal localization of key PE fidelity elements -- identifying their start and stop times -- directly from session audio and transcripts. Our ...

Bridging Online Behavior and Clinical Insight: A Longitudinal LLM-based Study of Suicidality on YouTube Reveals Novel Digital Markers

Suicide remains a leading cause of death in Western countries, underscoring the need for new research approaches. As social media becomes central to...

"I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singapore

Peer support plays a vital role in expanding access to mental health care by providing empathetic, community-based support outside formal clinical s...

CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmark of Large Language Models in Mental Health Counseling

Large language models (LLMs) are increasingly proposed for use in mental health support, yet their behavior in realistic counseling scenarios remain...

A Pilot Analysis Investigating the Use of AI in Malingering.

Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transform forensic psychiatry, sparking both advances and...

BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults.

BACKGROUND: Despite the high suicide rate in South Korea, older adults are reluctant to see a psychiatrist. Recently, text mining has gained popularit...

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric conditions such as Parkinson's disease, schizophrenia,...

RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis

This article proposes a robust brain-inspired audio feature extractor (RBA-FE) model for depression diagnosis, using an improved hierarchical networ...

NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery

We release NSD-Imagery, a benchmark dataset of human fMRI activity paired with mental images, to complement the existing Natural Scenes Dataset (NSD...

Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis

Accurate Autism Spectrum Disorder (ASD) diagnosis is vital for early intervention. This study presents a hybrid deep learning framework combining Vi...

Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings

Accurate and interpretable detection of depressive language in social media is useful for early interventions of mental health conditions, and has i...

On Quantum Random Walks in Biomolecular Networks

Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell interactions, offer valuable insights into the co...

GenIR: Generative Visual Feedback for Mental Image Retrieval

Vision-language models (VLMs) have shown strong performance on text-to-image retrieval benchmarks. However, bridging this success to real-world appl...

Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment

As LLMs become central to interactive applications, ranging from tutoring to mental health, the ability to express personality in culturally appropr...

A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis

The application of AI in psychiatric diagnosis faces significant challenges, including the subjective nature of mental health assessments, symptom o...

INESC-ID @ eRisk 2025: Exploring Fine-Tuned, Similarity-Based, and Prompt-Based Approaches to Depression Symptom Identification

In this work, we describe our team's approach to eRisk's 2025 Task 1: Search for Symptoms of Depression. Given a set of sentences and the Beck's Dep...

Joint Modeling for Learning Decision-Making Dynamics in Behavioral Experiments

Major depressive disorder (MDD), a leading cause of disability and mortality, is associated with reward-processing abnormalities and concentration i...

Human Heterogeneity Invariant Stress Sensing

Stress affects physical and mental health, and wearable devices have been widely used to detect daily stress through physiological signals. However,...

MOOSE: Pay Attention to Temporal Dynamics for Video Understanding via Optical Flows

Many motion-centric video analysis tasks, such as atomic actions, detecting atypical motor behavior in individuals with autism, or analyzing articul...