Psychiatry

Anxiety & Stress

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

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LOCOPOTS: a low-cost high-throughput screening platform for in vitro potato phenotyping under abiotic stress

Potato crop is highly vulnerable to abiotic stresses like salinity and low nutrient availability. Ra...

Counterfactual Stress Testing for Image Classification Models

Deep learning models in medical imaging often fail when deployed in new clinical environments due to...

Forecasting Minute-by-Minute Stress, Anxiety, and Affective States Using Time-Series Analysis of Wearable Sensor Data

This paper focuses on forecasting minute-by-minute stress, anxiety, and affective states using weara...

Artificial Intelligence Agents in Mental Health: A Systematic Review and Meta Analysis

The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...

One Perturbation, Two Failure Modes: Probing VLM Safety via Embedding-Guided Typographic Perturbations

Typographic prompt injection exploits vision language models' (VLMs) ability to read text rendered i...

BETA: Resting-state fMRI Biotypes for tDCS Efficacy in Anxiety Among Older Adults At Risk For Alzheimer's Disease

Anxiety is usually gauged by self-report, yet a single symptom level can reflect disparate neural ci...

Mucus transcriptional profiling as a minimally invasive approach to identify thermal stress in a stenothermal salmonid

Global climate change has increased the frequency and severity of stressful temperatures that freshw...

Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning

The widespread adoption of social media has heightened interest in its psychological effects, partic...

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs

Borehole breakouts are stress-induced spalling on the borehole wall, which are identifiable in acous...

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models

In the progress of industrial anomaly detection, general anomaly detection (GAD) is an emerging tren...

4D Vessel Reconstruction for Benchtop Thrombectomy Analysis

Introduction: Mechanical thrombectomy can cause vessel deformation and procedure-related injury. Ben...

Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning

Psychological stress is clinically relevant in cardio-oncology, yet it is typically assessed only th...

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes

The recently introduced ZACH-ViT (Zero-token Adaptive Compact Hierarchical Vision Transformer) forma...

Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins

Background: LLMs enable patient-facing conversational agents, creating a pathway toward digital twin...

Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

AI systems in healthcare research have shown potential to increase patient throughput and assist cli...

Social Determinants of Health and Chronic Disease Risk Prediction in the All of Us Research Program

Social determinants of health (SDoH), the social, economic, and environmental conditions shaping hea...

Interpretable machine learning meets systems biology to decode genotype-phenotype maps

Resolving causal genes from quantitative trait loci (QTL) remains fundamentally limited by linkage d...

A widespread electrical brain network encodes anxiety in health and depressive states

In rodents, anxiety is characterized by heightened vigilance during low-threat and uncertain situati...

A twin-aware multimodal deep learning framework with optimized late fusion for early prediction of adolescent anxiety disorder

Mental health related problems in adolescents are not always properly evaluated because of incomplet...

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