Psychiatry

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

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Research on the Proximity Relationships of Psychosomatic Disease Knowledge Graph Modules Extracted by Large Language Models

As social changes accelerate, the incidence of psychosomatic disorders has significantly increased...

Detecting anxiety and depression in dialogues: a multi-label and explainable approach

Anxiety and depression are the most common mental health issues worldwide, affecting a non-negligi...

Applying LLM and Topic Modelling in Psychotherapeutic Contexts

This study explores the use of Large language models to analyze therapist remarks in a psychothera...

PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health

Artificial intelligence-based language generators are now a part of most people's lives. However, ...

Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data

Major depressive disorder (MDD) is one of the most common mental disorders, with significant impac...

Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories

Recent advancements in NLP have spurred significant interest in analyzing social media text data f...

Modeling Battery Electric Vehicle Users' Charging Decisions in Scenarios with Both Time-Related and Distance-Related Anxiety

As one of the most promising alternatives to internal combustion engine vehicles, battery electric...

PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children

Left-behind children (LBCs), numbering over 66 million in China, face severe mental health challen...

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention

Neurodevelopmental disorders (NDDs) cover a variety of conditions, including autism spectrum disor...

Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery

Eating disorders (ED) are complex mental health conditions that require long-term management and s...

Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations

Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, perso...

Emotional Vietnamese Speech-Based Depression Diagnosis Using Dynamic Attention Mechanism

Major depressive disorder is a prevalent and serious mental health condition that negatively impac...

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

Patient life circumstances, including social determinants of health (SDOH), shape both health outc...

Investigation of in vitro neuronal activity processing using a CMOS-integrated ZrO2-based memristive crossbar

The influence of the epileptiform neuronal activity on the response of a CMOS-integrated ZrO2-base...

Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection

Previous studies have demonstrated that emotional features from a single acoustic sentiment label ...

Leveraging Audio and Text Modalities in Mental Health: A Study of LLMs Performance

Mental health disorders are increasingly prevalent worldwide, creating an urgent need for innovati...

Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs

We propose a pipeline for gaining insights into complex diseases by training LLMs on challenging s...

HAIFAI: Human-AI Interaction for Mental Face Reconstruction

We present HAIFAI - a novel two-stage system where humans and AI interact to tackle the challengin...

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