Psychiatry

Anxiety & Stress

Latest AI and machine learning research in anxiety & stress for healthcare professionals.

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Predicting Stress in Two-phase Random Materials and Super-Resolution Method for Stress Images by Embedding Physical Information

Stress analysis is an important part of material design. For materials with complex microstructure...

MAGI: Multi-Agent Guided Interview for Psychiatric Assessment

Automating structured clinical interviews could revolutionize mental healthcare accessibility, yet...

Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations

The advancement of AI systems for mental health support is hindered by limited access to therapeut...

Mirror: Multimodal Cognitive Reframing Therapy for Rolling with Resistance

Recent studies have explored the use of large language models (LLMs) in psychotherapy; however, te...

VR MRI Training for Adolescents: A Comparative Study of Gamified VR, Passive VR, 360 Video, and Traditional Educational Video

Magnetic Resonance Imaging (MRI) can be a stressful experience for pediatric patients due to the l...

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...

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...

3D variational autoencoder for fingerprinting microstructure volume elements

Microstructure quantification is an important step towards establishing structure-property relatio...

StyleLoco: Generative Adversarial Distillation for Natural Humanoid Robot Locomotion

Humanoid robots are anticipated to acquire a wide range of locomotion capabilities while ensuring ...

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...

Accodemy: AI Powered Code Learning Platform to Assist Novice Programmers in Overcoming the Fear of Coding

Computer programming represents a rapidly evolving and sought-after career path in the 21st centur...

Fine-Tuning Whisper for Inclusive Prosodic Stress Analysis

Prosody plays a crucial role in speech perception, influencing both human understanding and automa...

G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition

Graph Neural Networks (GNNs) have achieved significant success in machine learning, with wide appl...

DreamNet: A Multimodal Framework for Semantic and Emotional Analysis of Sleep Narratives

Dream narratives provide a unique window into human cognition and emotion, yet their systematic an...

Cross-Modality Investigation on WESAD Stress Classification

Deep learning's growing prevalence has driven its widespread use in healthcare, where AI and senso...

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...

Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population

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

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