Psychiatry

Depression

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

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Showing 589-609 of 1,937 articles
Bridging online behavior and clinical insight: A longitudinal LLM-based study of suicidality on youtube reveals novel digital markers.

Suicide remains a leading cause of death in Western countries. As social media becomes central to da...

(1)
Jan 2026 41544672
Current treatment options for perinatal depression.

PURPOSE OF REVIEW: Perinatal depression (PND) affects up to one in five patients and is the leading ...

Jan 2026 41531257
Rumination is more important than other variables in the association between social media use and depression: A multi-method study.

The relationship between social media use (SMU) and mental health, particularly depression, remains ...

Jan 2026 41529738
Neural signatures of major depressive disorder with comorbid insomnia: Low gamma PoCG.R-INS.L connectivity as a potential biomarker.

BACKGROUND: Insomnia is a common and distressing symptom in major depressive disorder (MDD). However...

(1)
Jan 2026 41529733
P300-based support vector machine model for identifying adolescent with first-episode, drug-naïve major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is diagnosed mainly through clinical interviews, highlig...

Jan 2026 41529737
Identification of major depressive disorder based on Triple-GCN model constructed with multimodal elastic network from higher-order brain connectivity.

Major Depressive Disorder (MDD) is the common mental health disease threatening human well-being. Se...

Jan 2026 41539130
Gaborformer: A method for depression detection through hybrid acoustic feature extraction and fusion.

Depression, a complex and heterogeneous mental disorder, poses significant challenges for timely and...

Jan 2026 41513150
An Interpretable Hybrid Neural Network Integrating Sinc-Convolution and Transformer for EEG-Based Depression Detection.

EEG recordings obtained before medication are regarded as valuable biological indicators for depress...

Jan 2026 41508896
Depression detection from speech data using deep learning-based optimized temporal-frequency-channel attention with interpretable acoustic-prosodic mapping.

Detecting depression from voice recordings is challenging because acoustic indicators are often high...

Jan 2026 41506383
Exploring temperamental and clinical predictors of lithium treatment outcomes in bipolar disorder using diverse machine learning approaches.

BACKGROUND: Lithium is a core treatment for bipolar disorder (BD), yet clinical response varies acro...

Jan 2026 41506389
Multi-scale EEG analysis identifies neural circuit signatures of iTBS responsiveness in major depressive disorder.

BACKGROUND: Response to transcranial magnetic stimulation (TMS) in major depressive disorder (MDD) i...

Jan 2026 41506306
Is chronic low back pain related to sleep disturbances? A self-organizing maps for unsupervised machine learning-based patient phenotyping.

BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause o...

Jan 2026 41500389
Ensemble transformer with post-hoc explanations for depression emotion and severity detection.

This study presents an ensemble transformer framework for detecting depression-related emotions and ...

Jan 2026 41630912
Polycrystalline InGaO Thin-Film Transistor with SiO2 Gate Insulator for High-Performance Artificial Synapses.

Metal-oxide semiconductor (MOS)-based synaptic transistors are promising candidates for highly integ...

Jan 2026 41489106
Adolescents with non-suicidal self-injury exhibit increased pain empathic neural reactivity and personal distress to physical but not affective pain.

BACKGROUND: Non-suicidal self-injury (NSSI) in adolescents represents a critical public health issue...

Jan 2026 41494544
From PHQ-2 to PHQ-2W: Data-driven identification of depressed mood and fatigue for optimized weighted depression screening.

OBJECTIVE: This study aims to optimize depression screening tools through a data-driven approach, id...

Jan 2026 41494548
Artificial intelligence in psychiatry: Current and emerging trends, clinical applications, and research gaps explored through a bibliometric analysis.

OBJECTIVE: The aim of this study is to analyze AI-based scientific publications in psychiatry using ...

Jan 2026 41499904
Plasma metabolomics identifies lipid mediators linking depression and cognitive decline in late-life depression.

BACKGROUND: Late-life depression (LLD) features recurrent episodes and frequently co-exists with cog...

Jan 2026 41483882
Machine learning detecting aggression among mood disorder patients visited in psychiatric emergency departments.

BACKGROUND: Aggression, which is highly prevalent in patients with mood disorders, has been proven v...

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Jan 2026 41483885
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