Psychiatry

Depression

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

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Showing 463-483 of 1,937 articles
Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data.

BACKGROUND: The increasing use of smartphones among older adults offers new opportunities for social...

Mar 2026 41818479
Transient frontal spectral events from EEG predict antidepressant response to sertraline in depression.

Resting-state scalp electroencephalography (EEG) is a promising method for predicting patient outcom...

Mar 2026 41849883
Multimodal machine learning for major depressive disorder: Integrating EEG functional connectivity and clinical variables to enhance diagnostic accuracy.

The diagnosis of Major Depressive Disorder (MDD) relies heavily on subjective clinical assessments. ...

Mar 2026 41887003
Mortality score in chronic coronary syndrome: prediction model from the ISCHEMIA trial.

AIMS: Accurate stratification of mortality risk is essential for management of chronic coronary synd...

Mar 2026 41812133
The Performance of Wearable Device-Based Artificial Intelligence in Detecting Depression: Systematic Review and Meta-Analysis.

BACKGROUND: In recent years, advances in wearable sensor technology and artificial intelligence (AI)...

Mar 2026 41805737
DisNet : Learning interpretable depression representations in speech.

Speech-based depression detection (SDD) offers an objective and convenient method for depression scr...

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Mar 2026 41831358
Deep Brain Stimulation Induces Antidepressant Effects by Restoring High-Fidelity Communication in the BNST-NAc Circuit.

Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant i...

Mar 2026 41801046
Magnetic resonance imaging study of major depressive disorder: a 28-year scientometric and visual analysis.

Neuroimaging, particularly magnetic resonance imaging (MRI), has become a cornerstone in elucidating...

Mar 2026 41825244
Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightene...

Mar 2026 41858426
Beyond acoustic features: Incorporating linguistic variables in automatic speech analysis for depression detection.

BACKGROUND: Most research on automatic speech analysis (ASA) has focused on acoustic features, while...

Mar 2026 41796775
From pharmacokinetic genes to polygenic scores and multi-omic integration: advances towards precision psychiatry.

INTRODUCTION: . Pharmacological treatment is the mainstay in the acute and long-term management of s...

Mar 2026 41789450
Neuroimaging insights into the neurophysiological subtypes of major depressive disorder.

Major depressive disorder (MDD) is a highly heterogeneous condition that limits the reliability of s...

Mar 2026 41794061
Classification of suicide attempt history in adolescents with affective disorders: An exploratory machine learning study.

INTRODUCTION: Diagnosis of affective disorders among adolescent population links with the high risk ...

Mar 2026 41794145
Evaluating the potential of applying artificial intelligence in the diagnosis of major depressive disorder: Neuroimaging and clinical behavioral markers.

BACKGROUND: Consensus exists that point-of-care in scalable capabilities are required to improve the...

Mar 2026 41794147
Exploring interactive pathways to infant disorganized attachment in a sample of mothers with postpartum depression.

Research on interactions between child and environmental factors in the development of infant disorg...

Mar 2026 41787750
Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders.

Objective: To identify and compare predictors of nonfatal and fatal suicidal events within 180 days ...

Mar 2026 41784443
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