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Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 3970-3990 of 5,977 articles

Datasets for Depression Modeling in Social Media: An Overview

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

Mar 2025 http://arxiv.org/abs/2503.21513v1

Pupillary reactions depend on disgust sensitivity in conceptual pavlovian disgust conditioning

Exposure-based interventions rely on inhibitory learning, often studied through Pavlovian conditio...

Mar 2025 http://arxiv.org/abs/2503.20601v1

Enhancing Depression Detection via Question-wise Modality Fusion

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

Mar 2025 http://arxiv.org/abs/2503.20496v1

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder

Disorganized thinking is a key diagnostic indicator of schizophrenia-spectrum disorders. Recently,...

Mar 2025 http://arxiv.org/abs/2503.20103v1

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...

Mar 2025 http://arxiv.org/abs/2503.19820v1

Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review

In this work, we present two novel contributions toward improving research in human-machine teamin...

Mar 2025 http://arxiv.org/abs/2503.19607v1

FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation

Federated learning (FL) enables privacy-preserving collaborative model training without direct dat...

Mar 2025 http://arxiv.org/abs/2503.18981v1

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...

Mar 2025 http://arxiv.org/abs/2503.17625v1

A Foundation Model for Patient Behavior Monitoring and Suicide Detection

Foundation models (FMs) have achieved remarkable success across various domains, yet their adoptio...

Mar 2025 http://arxiv.org/abs/2503.15221v1

Generating Medically-Informed Explanations for Depression Detection using LLMs

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

Mar 2025 http://arxiv.org/abs/2503.14671v1

Neural Constraints on Cognitive Experience and Mental Health

Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuro...

Mar 2025 http://arxiv.org/abs/2503.13981v1

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding

Autism Spectrum Disorder (ASD) is a complex neurological condition characterized by varied develop...

Mar 2025 http://arxiv.org/abs/2503.12366v1

When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS...

Mar 2025 http://arxiv.org/abs/2503.12334v2

Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages

Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their...

Mar 2025 http://arxiv.org/abs/2503.11384v1

Eye Movement Characteristics for Predicting a Transition to Psychosis: Longitudinal Changes and Implications.

BACKGROUND AND HYPOTHESIS: Substantive inquiry into the predictive power of eye movement (EM) featur...

Mar 2025 38245498

Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade.

BACKGROUND AND HYPOTHESIS: Schizophrenia (SZ) is characterized by significant cognitive and behavior...

Mar 2025 38982882

Browse Categories

Datasets for Depression Modeling in Social Media: An Overview

Pupillary reactions depend on disgust sensitivity in conceptual pavlovian disgust conditioning

Enhancing Depression Detection via Question-wise Modality Fusion

Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought Disorder

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

Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review

FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation

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

A Foundation Model for Patient Behavior Monitoring and Suicide Detection

Generating Medically-Informed Explanations for Depression Detection using LLMs

Neural Constraints on Cognitive Experience and Mental Health

ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding

When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages

Eye Movement Characteristics for Predicting a Transition to Psychosis: Longitudinal Changes and Implications.

Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade.

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text

Key Predictors of Generativity in Adulthood: A Machine Learning Analysis.

Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India

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