Psychiatry

Depression

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

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Showing 652-672 of 1,937 articles
Integrating structural and functional brain features to classify major depressive disorder: a multi modal approach.

Major Depressive Disorder (MDD) is a common mental disorder that markedly impairs psychosocial funct...

Oct 2025 41167431
Screening for depression risk in asthma patients: Development and external validation of a machine learning-based predictive model.

BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of lif...

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Oct 2025 41151724
Biased minds, sensitive hearts: Divergent neural signatures of interpersonal sensitivity in atypical and non-atypical depression.

BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensiti...

Oct 2025 41284525
Association between triglyceride-glucose index and depression and the mediating role of hypertension: a cross-sectional study of obese adults.

BACKGROUND: Recent findings indicate a positive correlation between the TyG (triglyceride-glucose) i...

Oct 2025 41284526
Interpretable machine learning models for predicting depression status and remission three years later in older adults in China: A longitudinal study.

BACKGROUND: Depression significantly impacts older adults, making it valuable to use machine learnin...

Oct 2025 41284533
Primary-care-focused interpretable machine learning model for depression screening in geriatrics: A comparative study of multiple algorithms.

BACKGROUND: The prevalence of depression among older adults places a considerable strain on healthca...

Oct 2025 41284538
Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States.

Depression is a major global public health concern, with physical inactivity recognized as a key mod...

Oct 2025 41284540
Modeling homosynaptic and heterosynaptic plasticity with a single neuromemristive synapse.

INTRODUCTION: Efforts are being made to design a brain-like intelligence due to its robustness, syna...

Oct 2025 41135876
Neurophysiological mechanisms and predictive modeling of SSRI treatment response in depression disorder based on multidimensional EEG features.

BACKGROUND: Depression exhibits significant heterogeneity in antidepressant treatment response. This...

Oct 2025 41109421
Sleep disturbance recorded via wearable sensors predicts depression severity 9 years later.

BACKGROUND: Major depressive disorder (MDD) is prevalent and poses major public health implications....

Oct 2025 41106621
A full-function memristive associative memory neural network circuit based on multi-frequency SRDP rule.

Previous studies on memristive associative neural network circuits have not sufficiently incorporate...

Oct 2025 41161208
Brain dynamics and depressive symptoms in young adults: Evidence from EEG.

BACKGROUND: Depression is a major public health concern, with a rising prevalence among adolescents ...

Oct 2025 41101491
Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions.

Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), but their...

Oct 2025 41083073
Esflurbiprofen exerts a fast-onset antidepressant effect by blocking SERT-nNOS interaction.

Selective serotonin reuptake inhibitors (SSRIs) are characterized by delayed therapeutic onset large...

Oct 2025 41068287
A novel potential biomarker panel to diagnose depression derived from big proteomic data.

BACKGROUND: There is still no clinical biomarker to diagnose depression. Given the complexity of a m...

Oct 2025 41072869
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model.

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds...

Oct 2025 41044403
Harnessing Machine Learning to Predict Nurse Turnover Intention and Uncover Key Predictors: A Multinational Investigation.

AIMS: To predict nurses' turnover intention using machine learning techniques and identify the most ...

Oct 2025 41036667
Prefrontal cortex cytosolic and synaptosome proteome reveal molecular signatures of resilience to chronic social isolation stress in rats.

Chronic social isolation stress (CSIS) is a well-established preclinical model for studying stress-i...

Sep 2025 40991946
Deep adaptive fusion network with multimodal neuroimaging information for MDD diagnosis: an open data study.

Neuroimaging offers powerful evidence for the automated diagnosis of major depressive disorder (MDD)...

Sep 2025 41014935
Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-Registration.

Large language models can transform individuals' mental health descriptions into scores that correla...

Sep 2025 40974258
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