Psychiatry

Analyzing multiple-sclerosis progression: stage-specific biomarker insights via explainable machine learning.

BACKGROUND: Multiple Sclerosis (MS) is a chronic autoimmune disease where early diagnosis from Clini...

The prediction and impact of self-criticism on non-suicidal self-injury in adolescents: A study based on machine learning.

This study uniquely combines machine learning with structural equation modeling to investigate how s...

A Conversational Platform (Okaya) for Multimodal Digital Biomarkers of Fatigue, Cognition, and Mental Health: Feasibility Observational Study.

BACKGROUND: Collection of multimodal data (video, audio, and text) can yield digital biomarkers rele...

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, inclu...

Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach.

BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high ...

Human-like cognitive generalization for large models via mental representation-guided supervision.

Recent advancements in deep neural networks (DNNs), particularly large-scale language models, have d...

The impact of ChatGPT on preoperative anxiety and postoperative depression in cesarean section: a prospective randomized trial.

Anterior midcingulate cortex activity during pain catastrophizing predicts and sequentially tracks reduction in pain interference after cognitive behavioral therapy in fibromyalgia.

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and function...

Energy-Efficient EEG-Based Autism Spectrum Disorder Detection Using a Hyperbolic Attention Neural Network.

Long-term physiological monitoring using wearable wireless systems represents a paradigm change in n...

Computer-Assisted Performance-Based Assessment for Mental Health: A Scoping Review.

Adolescent mental health is foundational to personal development, yet it faces escalating challenges...

From Cultural Context to System Resilience: Advancing Global Mental Health for Older Adults.

Population aging worldwide has intensified the need to understand how mental health in later life is...

From Benefits to AI: How BJC Health Is Embracing Change While Strengthening Culture.

In a time of dramatic change on multiple fronts, health systems must evolve with a mindset of persis...

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action.

Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depre...

The Psychological Pathways to AI Resistance: Religiosity, Populism and Anxiety as Predictors of AI Engagement.

This study investigates how religiosity affects individuals' intentions to engage with artificial in...

A Multimodal AI Framework for Early Autism Identification Using CbRNN-Ensemble Modelling and Advanced NCIAPPF-Based Temporal Encoding.

To improve child developmental results and enable prompt interventions, early identification of auti...

A Robust Computational Framework for Autism Spectrum Disorder Identification Using Optimized Image Processing and Hybrid Learning Models.

The classification of autism spectrum disorder (ASD) has reached a new stage of development that inc...

Game Changers in the Treatment of and Engagement With Persons Living With Mental Health and Substance Use Disorders: The Role of the Nurse.

The game changers in mental health and substance use disorder treatment have been shaped by historic...

Predicting Long-Term Depression Progression in Parkinson's Disease: A Machine-Learning Survival Analysis and Risk Score.

BACKGROUND: Depression in Parkinson's disease (dPD) is common and heterogeneous, impairs quality of ...

The Mediating Role of Artificial Intelligence Anxiety in The Effect of Nurses' Attitudes Toward Health Technologies on Their Readiness for Medical Artificial Intelligence.

AIM: This study aims to evaluate the mediating role of artificial intelligence (AI) anxiety in the e...

AI-powered methods for psychological assessment in adolescence psychological disorders: A systematic review and meta-analysis.

Artificial intelligence (AI)-powered assessment, with its ability to process multimodal data and sup...

Artificial intelligence for adaptive neuromodulation in drug-resistant epilepsy.

Drug-resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated wit...