Psychiatry

Parental Perspectives on Oral Health Care for Autistic Children With Medicaid: A Qualitative Study.

Children with special health care needs and disabilities (CSHCND), particularly those with autism, e...

Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.

A central objective in human neuroimaging is to understand the neurobiology underlying cognition and...

Psychiatric Conditions in Women With Health Problems, and the Role of Artificial Intelligence (AI) in the Well-Being of Health Professionals and the Identification of Mental Disorders.

AI-Driven Speech Analysis for Mental Health Prediction in Individuals with Voice Disorders.

BACKGROUND AND OBJECTIVE: Mental health disorders are common among individuals with voice disorders,...

Response to comments on "Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study".

Integrated transcriptomic and clinical analysis of autism spectrum disorder reveals structured heterogeneity and links Methyl-CpG Binding Domain Protein 2 expression with symptom severity.

AIM: Autism spectrum disorder (ASD) remains underexplored in Southeast Asia, with limited characteri...

Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study.

BACKGROUND: Images play an important role in reducing stigma related to mental health, which often i...

User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.

BACKGROUND: Artificial intelligence-powered conversational agents (ie, chatbots) are increasingly po...

Unlocking clinical narratives: how natural language processing and artificial intelligence can address data deficits and mitigate health inequities in urgent and emergency care.

The Urgent and Emergency Care system generates a wealth of clinical information, but our ability to ...

AI-based autism identification from hyperspectral imaging detection of oxidative stress in pediatric red blood cells.

BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-...

A data-driven analysis of artificial intelligence applications in depression research: 2020-2025.

With the rapid advancement of artificial intelligence (AI) technologies, increasing numbers of resea...

Evaluating the heterogeneous treatment effects of major depression polygenic risk scores on self-harm using causal forest.

BACKGROUND: Self-harm, defined as non-fatal self-inflicted harm regardless of suicidal intent, is a ...

AI-Assisted Classical Piano Intervention for Enhancing Resilience, Mindfulness, and Emotional Processing in Young Adults With Mild-to-Moderate Anxiety or Depression.

Mental-health-oriented interventions increasingly require structured, scalable, and nonpharmacologic...

A Call for Leadership: Lessons Learnt from a Case of Artificial Intelligence (AI)-Augmented Cognitive Behavioural Therapy (CBT).

Emotion Expression in Breast Cancer Support Seeking: Empirical Study of an Online Community.

BACKGROUND: Breast cancer affects millions of women and presents not only medical challenges but als...

Digital Monitoring of Pre-Exposure Prophylaxis Users Through Electronic Patient-Reported Outcome Measures and Electronic Patient-Reported Experience Measures: Multicenter Prospective Study on Feasibility, Safety, and Predictive Modeling of Digital Engagement.

BACKGROUND: Digital health tools integrating electronic patient-reported outcome and experience meas...

Designing Psychologically Grounded Artificial Intelligence for Supporting Bystander-Based Cyberaggression Intervention: Mixed Methods Exploratory Study.

BACKGROUND: Cyberaggression poses a growing threat to mental health, contributing to increased distr...

Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial.

BACKGROUND: Prostate‑specific antigen (PSA) screening involves complex trade‑offs between early dete...

Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study.

BACKGROUND: As the demand for innovative older adult care grows alongside a shortage of care workers...

Wearable ECG and PPG for anxiety detection: a translational digital medicine perspective.

Anxiety disorders affect hundreds of millions of people worldwide, yet objective and continuous asse...

MultiMindNet: AI-based mental health analysis using hybrid deep learning approach and Hybrid Ant-Grey Wolf Optimization (HAGWO) algorithm.

Mental health disorders like depression and anxiety pose global challenges, requiring accurate, non-...