Psychiatry

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 detection and the risks of overdiagnosis. For older adults (aged ≥50 years), shared decision‑making (SDM) is often hindered by limited health literacy, sensory or cognitive impairments, and multimorbidity, which complicate risk comprehension. Traditional decision aids provide foundational knowledge but ...

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, personalization is key to optimizing services and enhancing long-term sustainability. This study proposes an adaptive reinforcement learning (RL)-based framework to promote precision digital care by dynamically assigning care programs based on individuals' unique characteristics and evolving needs...

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 assessment remains limited in clinical practice. To ou...

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-invasive detection methods. Classical modes of dia...

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

Neurodevelopmental disorders (NDDs) are characterized by impairments in cognition, communication, behavior, and adaptive functioning, placing increasi...

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

Geo-Mamba: Geometry-informed state-space learning of functional brain organization.

Functional magnetic resonance imaging (fMRI) derived functional connectivity (FC) is represented as graphs and as correlation or covariance matrices t...

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 cognitive activity. It is characterized by a sense of t...

Foundation models for brain imaging: A systematic review.

Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have revolutionized artificial intelligence and demonstra...

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 mental well-being. Against this background, research...

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 existing research relies on small, demographically...

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

Development and validation of a precision treatment rules for first-line antipsychotic recommendations in first episode psychosis jointly incorporating effectiveness, side effects and patient preferences.

Selecting first-line antipsychotic medication for first episode of psychosis patients is a very challenging task requiring the clinicians to empirical...

Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.

UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) experience residual pain even in remission. Digital he...

Oral Health and Social Engagement of Older Adults: A Longitudinal Study.

OBJECTIVES: This study examines whether better oral health is associated with greater social engagement in later life and whether oral health and soci...

Severity-dependent alterations of EEG microstate dynamics in obsessive-compulsive disorder.

BACKGROUND: While elevated symptom severity in obsessive-compulsive disorder (OCD) is associated with a profound clinical burden and escalating psychi...

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Carta de lectores relacionada al artículo de Guevara Tirado que lleva por título "Síntomas depresivos del cuestionario PHQ-9 asociados a ideación suic...

Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study.

BACKGROUND: Preventing relapses of psychosis is difficult and important. Digital remote monitoring (DRM) systems are being developed and tested to sup...

AI-enabled psychometric and psychophysiological assessment in psychiatric comorbidity of oncology patients: A systematic review.

BACKGROUND: The state of psychological distress, including depression and anxiety, is very common among patients with cancer. Common screening tools a...

Multivariate machine learning regression approaches to predict adolescent suicide risk.

BACKGROUND: Suicide is a leading cause of death among adolescents, yet most prediction models rely on binary classification and limited predictors, fa...