Psychiatry

Depression

Latest AI and machine learning research in depression for healthcare professionals.

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Showing 43-63 of 1,739 articles
Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

The structural and functional connectivity of the brain network is a combination of complex connecti...

Jun 2026 42371895
Which machine learning algorithms are best at predicting eating disorder tendencies among nursing students in China?

BACKGROUND: Nursing students are at high risk for developing eating disorders (ED). However, methods...

Jun 2026 42374359
Altered thalamic subregional connectivity with default mode and frontoparietal networks in adolescents with depression.

BACKGROUND: The thalamus plays a pivotal role in the pathophysiology of adolescent depression, with ...

Jun 2026 42365929
Differential Effects of Prenatal Depression and Anxiety on Infant Sleep: Dual-Pathway Mechanisms Involving the HPA Axis and the Gut-Brain Axis.

STUDY OBJECTIVES: Prenatal psychological distress is associated with adverse offspring outcomes, inc...

Jun 2026 42364158
An interpretable predictive model for depression risk in diabetic patients: A web-based application using NHANES data.

Depression is a common comorbidity in individuals with diabetes and is associated with adverse clini...

Jun 2026 42363498
Machine learning models to predict ICU admission of patients with COPD and depression: A retrospective cohort study.

This study aimed to develop and validate a machine learning (ML)-based predictive model to identify ...

Jun 2026 42363537
CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Depression is a serious mental health condition affecting millions worldwide. In recent years, deep ...

Jun 2026 42361399
Distinct and Shared Molecular Mechanisms Underlie Morphological-Functional Overcoupling and Undercoupling in Major Depressive Disorder.

BACKGROUND: Major depressive disorder (MDD) exhibits significant heterogeneity in alterations of bra...

Jun 2026 42349740
Novel genetic insights into causal effects of depression on non-alcoholic fatty liver diseases partially mediated by gut microbiota.

Depression and non-alcoholic fatty liver disease (NAFLD) are increasingly recognized as interconnect...

Jun 2026 42349829
Integrated remote sensing and aeromagnetic datasets for mapping iron mineralization potential in the El-Bahariya depression in the Western Desert of Egypt.

The El-Bahariya depression in the Western Desert of Egypt is well-known for its iron ore deposits, w...

Jun 2026 42350787
Discrimination of generalized anxiety and major depressive disorders by machine learning of resting-state functional MRI.

OBJECTIVE: To address the clinical difficulty of differentiating Generalized Anxiety Disorder (GAD) ...

Jun 2026 42351064
AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.

Current disease-sensing devices primarily focus on distinguishing between healthy and diseased state...

Jun 2026 42341109
Enhancing Cognitive Functions of Older Adults With Software Robot: Longitudinal Exploratory Field Study.

BACKGROUND: The global prevalence of dementia continues to rise and demands scalable, nonpharmacolog...

Jun 2026 42341288
Supporting Student Mental Health With the Safespace Generative AI Chatbot: Mixed Methods Feasibility Study.

BACKGROUND: Generative artificial intelligence (GenAI) chatbots have the potential to provide person...

Jun 2026 42341318
Leveraging simulation to provide a practical framework for estimating the novel scope of risk of large language models in healthcare.

BACKGROUND: Large language models (LLMs) are rapidly entering clinical and consumer use, yet their p...

Jun 2026 42342371
Comprehensive analysis of interactions between brain aging and late-onset psychoses using heuristic mapping models.

BACKGROUND: Advanced brain aging is closely associated with late-onset psychoses, including bipolar ...

Jun 2026 42342841
Integrating neurobiological markers to prospectively predict adolescent non-suicidal self-injury and suicide attempts: a machine learning approach.

BACKGROUND: Suicide attempts (SA) and non-suicidal self-injury (NSSI) are closely related phenomena,...

Jun 2026 42332814
A scoping review of the use of artificial intelligence as a psychological assessment tool.

Mental health disorders are highly prevalent worldwide, yet access to timely and effective mental he...

Jun 2026 42331776
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