Psychiatry

Anxiety & Stress

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

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Showing 1361-1380 of 4,207 articles

Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.

Fragile X Syndrome (FXS) is a common cause of autism spectrum symptoms. The genetic mutation results in multiple molecular alterations that are hypothesized to negatively impact neural circuit development although the nature of any functional neural dynamic consequences remain unclear. Therefore, the characteristics of hippocampal-prefrontal (H-PFC) network dysfunction were investigated in a rat m...

May 8 2025 40341845

A Systematic Review on Physiology-based Anxiety Detection using Machine Learning.

Anxiety disorder poses a significant challenge to mental health. Diagnosing anxiety is complicated due to its various symptoms and factors, often resulting in extended periods of untreated patient suffering. As a result, patients often endure prolonged periods without treatment. This scenario has prompted researchers to step into the domain of non-invasive physiological signals, including electroe...

May 8 2025 40340907
Evaluating the impact of AI-generated educational content on patient understanding and anxiety in endodontics and restorative dentistry: a comparative study.

BACKGROUND: Effective patient education is critical in enhancing treatment outcomes and reducing anxiety in dental procedures. This study compares the...

May 7 2025 40335999
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models

Active stress models in cardiac biomechanics account for the mechanical deformation caused by muscle activity, thus providing a link between the ele...

An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices

Continuous monitoring of behavior and physiology via wearable devices offers a novel, objective method for the early detection of worsening depressi...

From Biometrics to Environmental Control: AI-Enhanced Digital Twins for Personalized Health Interventions in Healing Landscapes

The dynamic nature of human health and comfort calls for adaptive systems that respond to individual physiological needs in real time. This paper pr...

Closing the Loop: A Systematic Review of Experience-Driven Game Adaptation

Adaptive game systems aim to enrich player experiences by dynamically adjusting game content in response to user data. While extensive research has ...

The effect of esketamine on perioperative anxiety and depressive symptoms in patients undergoing total hysterectomy.

AIM: This study aimed to evaluate the effect of esketamine on perioperative anxiety and depressive symptoms, acute stress reaction, and serum neurotra...

May 1 2025 40344352
The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview.

Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitiv...

May 1 2025 40274359
Is AI A-OK? Medicolegal considerations for general practitioners using AI scribes.

BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinical documentation can reduce clinician productivity ...

May 1 2025 40320810
How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues

The growing adoption of synthetic data in healthcare is driven by privacy concerns, limited access to real-world data, and the high cost of annotati...

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 microstructures, such as two-phase random materials (TRMs), mate...

MAGI: Multi-Agent Guided Interview for Psychiatric Assessment

Automating structured clinical interviews could revolutionize mental healthcare accessibility, yet existing large language models (LLMs) approaches ...

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 therapeutic conversation data, particularly for trauma trea...

Mirror: Multimodal Cognitive Reframing Therapy for Rolling with Resistance

Recent studies have explored the use of large language models (LLMs) in psychotherapy; however, text-based cognitive behavioral therapy (CBT) models...

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 loud acoustic environment, enclosed scanner bore, a...

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 disorders, adversely impacting human health. While...

Apr 3 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, LLMs and fine-tuning are limited to the pre-trained ...

A Machine Learning Approach for Investigating Variable Importance in Relationship and Sexual Satisfaction: The Role of Interpersonal Mindfulness and Psychological Safety.

Numerous studies have shown that mindfulness is positively associated with relationship and sexual satisfaction. However, most have examined the benef...

Apr 1 2025 40275608
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, presenting challenges for accurate quantification. Reduc...

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