Psychiatry

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-...

Large-scale brain network alteration among OCD patients with suicidal thoughts and behavior: A microstate analysis of the electroencephalogram.

BACKGROUND: The prevalence of suicidality in obsessive-compulsive disorder (OCD) is understudied. Mo...

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-...

Comorbidity-aware transfer learning for neuro-developmental disorder diagnosis.

Neurodevelopmental disorders (NDDs) are characterized by impairments in cognition, communication, be...

Extrapyramidal symptom severity across machine learning-derived neuroanatomical subtypes of schizophrenia.

Investigating cognitive fatigue recovery through mechanical massage and binaural beats: An AI-driven fNIRS study.

Cognitive fatigue is a state of reduced mental performance resulting from prolonged periods of cogni...

Foundation models for brain imaging: A systematic review.

Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have re...

LSHMMformer: An Intelligent detection model of depression based on multi-modal fusion.

BACKGROUND: Depression is a serious mental health issue, which has become an undeniable threat to me...

Vocal Fundamental Frequency and Generalized Anxiety Disorder: Insights from a Large Multi-Country Cohort in Africa.

OBJECTIVE: Voice-based biomarkers have been proposed as objective tools for anxiety assessment, yet ...