Depression

Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning.

BACKGROUND: Continuous follow-up for patients with major depressive disorder (MDD) is essential for treatment decisions and a better prognosis. There remains limited evidence regarding the critical issue of depression variation trajectory prediction using mobile health (mHealth) measures. Moreover, the temporal dynamics of mHealth measures have not been fully modeled in previous studies, and the p...

Construction of a prediction model for depression risk in elderly patients with chronic obstructive pulmonary disease based on machine learning algorithms and analysis of influencing factors.

Patients with chronic obstructive pulmonary disease (COPD) are at a high risk of depression, which not only accelerates disease progression but also significantly reduces patients' quality of life. This study aimed to develop a model for the accurate prediction of depression risk in COPD patients using machine learning techniques. A total of 2234 patients with COPD were enrolled from the China Hea...

Prenatal serotonin reuptake inhibitor exposure and maternal depression symptoms are associated with altered fetal brain and placental development.

Maternal mental health is associated with fetal neurodevelopment. Identifying effective treatments for maternal psychiatric conditions is a public hea...

Diagnostic accuracy of machine learning approaches for suicide‑related outcomes: a meta‑analysis.

OBJECTIVE: This diagnostic test accuracy meta-analysis aimed to provide clinically interpretable estimates (sensitivity, specificity, likelihood ratio...

A Guide to Constructing Indigenous Statistical Spaces for Prevention Science Research.

Artificial intelligence (AI)-powered computational methods, such as machine learning and natural language processing, are increasingly applied in deat...

Clinical and quality of life predictors in patients with schizophrenia with and without substance use disorder.

The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to...

Predicting first onset of suicide attempt among children with suicidal ideation or non-suicidal self-injury using machine learning: a prospective population-based cohort study.

While children with suicidal ideation or non-suicidal self-injury (NSSI) are at high risk of suicide, most do not attempt suicide. This study aims to ...

Permeable Proton Transport and Hydrogenation Attained by ONCS-Induced Graphene Nanosheet Film for Neuromorphic Memory Devices.

Traditional von Neumann architecture-based devices are limited by the memory wall, hindering the development of next-generation artificial intelligenc...

MSFSNet: Multi-Source Few-Shot Adaptation Network for Cross-Subject Depression Recognition from EEG Signals.

Depression is a prevalent mental disorder with severe socio-economic implications, and its early identification and intervention are crucial for mitig...

Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade.

BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...

Effectiveness of AI-based conversational and socially assistive agents in older adults: a systematic review and meta-analysis.

BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in...

A multifeature machine learning and resting-state EEG study reveals differences in beta oscillation in late-life depression with or without mild cognitive impairment.

BACKGROUND: Late-life depression (LLD) often co-occurs with mild cognitive impairment (MCI), and patients with LLD and MCI (LLD-MCI) have an increased...

Research on depression diagnosis method based on multi-scale analysis of frontal lead EEG.

BACKGROUND: Depression is one of the most prevalent mental disorders globally, severely affecting individuals' emotional, cognitive, and physical func...

ThinkAI: A Natural Language Processing-based Intelligent framework for Mental Health.

In the current digital era, emotional and mental health challenges are becoming very common. Therefore, it is essential to find new and effective ways...

Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study.

BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns ab...

Feasibility and Acceptability of a Prevention-Focused Screener for Perinatal Depression Risk: Mixed Methods Cohort Study.

BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cause of maternal death in the United States. Profess...

Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning.

Based on functional connectivity (FC) matrices derived from resting-state functional magnetic resonance imaging (rs-fMRI) data, graph neural networks ...

Surgical and hormonal gender-affirming care: cross-domain determinants and artificial intelligence-enabled expansion.

Gender-affirming surgery (GAS) and gender-affirming hormone therapy (GAHT) and are evidence-based components of care that support the health and well-...

Risks and Harms of Conversational Artificial Intelligence (CAI) Chatbot Use Among US Youth.

INTRODUCTION: Conversational AI (CAI) chatbots are widely used by adolescents for instruction, entertainment, companionship, and advice, but concerns ...

Sex-specific microbial and tryptophan signatures of depression implicate archaeal methanogens and indole-3-acetic acid only in women.

Sex differences in mental health are often overlooked, yet gut microbiota-host metabolite interactions may contribute to sexual dimorphism in depressi...