Psychiatry

Depression

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

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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...

Datasets for Depression Modeling in Social Media: An Overview

Depression is the most common mental health disorder, and its prevalence increased during the COVI...

Enhancing Depression Detection via Question-wise Modality Fusion

Depression is a highly prevalent and disabling condition that incurs substantial personal and soci...

A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring

Depression disorder is a serious health condition that has affected the lives of millions of peopl...

(3)
AI-Based Screening for Depression and Social Anxiety Through Eye Tracking: An Exploratory Study

Well-being is a dynamic construct that evolves over time and fluctuates within individuals, presen...

Generating Medically-Informed Explanations for Depression Detection using LLMs

Early detection of depression from social media data offers a valuable opportunity for timely inte...

Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography.

OBJECTIVES: The advantages of preoperative three-dimensional (3D) image simulations, which require e...

Mar 2025 40120091
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation

Depression is a widespread mental health disorder, and clinical interviews are the gold standard f...

Mixture of Experts for Recognizing Depression from Interview and Reading Tasks

Depression is a mental disorder and can cause a variety of symptoms, including psychological, phys...

Evidence-Driven Marker Extraction for Social Media Suicide Risk Detection

Early detection of suicide risk from social media text is crucial for timely intervention. While L...

(1)
Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization

Large Language Models (LLMs) have been previously explored for mental healthcare training and ther...

(1)
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models

Mental health remains a challenging problem all over the world, with issues like depression, anxie...

Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration

Automatic depression detection provides cues for early clinical intervention by clinicians. Clinic...

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population

Depression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety...

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical car...

[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

This study aims to construct a machine learning model to predict depression symptoms in the elderly...

(2)
Feb 2025 39965839
Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models

Depression is one of the leading causes of disability worldwide, posing a severe burden on individ...

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions

Individual's general well-being is greatly impacted by mental health conditions including depressi...

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