Psychiatry

Depression

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

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Showing 442-462 of 1,937 articles
Association of depression and gastrointestinal diseases: a three-stage study.

BACKGROUND: Depression as a mental illness is commonly observed to co-occur with various somatic dis...

Mar 2026 41877611
Prediction of depressive episodes based on clinical features, cognitive characteristics, inflammation-related proteins, and EEG data.

The absence of clinically validated biomarkers and objective diagnostic protocols hinders the accura...

Mar 2026 41876463
Developing a machine learning-based predictive model for depression risk in patients with cardiovascular diseases.

BACKGROUND: Cardiovascular Diseases (CVD) are frequently comorbid with depression, significantly aff...

Mar 2026 41881115
Machine learning models for detecting suicidal ideation in Chinese in-patients with major depressive disorder: A single-centre retrospective study.

UNLABELLED: Suicide claims >720,000 lives annually; major depressive disorder (MDD) carries the high...

Mar 2026 41881117
Predicting suicidal ideation from depression screening data: A network-augmented machine learning approach.

BACKGROUND: Suicidal ideation is often assessed using a single self-report item in routine screening...

Mar 2026 41881118
Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia.

OBJECTIVE: To develop and validate a multi-lead electrocardiogram (ECG)-based machine learning syste...

Mar 2026 41881286
Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder.

BACKGROUND: Major Depression (MDD) is a potentially life-threatening condition that ranks among the ...

Mar 2026 41872325
Differentiating Depression Subtypes through three-electrode EEG and Emotional Stimuli: A Machine Learning Approach.

We propose an EEG-based framework for depression subtype assessment using emotion-modulated neural d...

Mar 2026 41871463
Identifying postpartum depression subtypes using natural language processing and clinical notes.

BACKGROUND: Postpartum depression (PPD) remains vastly underdiagnosed, and its clinical heterogeneit...

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Mar 2026 41871883
Attitudes toward artificial intelligence among individuals with anxiety, depression, bipolar disorders, and schizophrenia.

BACKGROUND: Artificial intelligence (AI) increasingly supports medical diagnosis, interventions, and...

Mar 2026 41921249
A proof-of-concept machine learning model for short-term suicide risk stratification in depressed youth.

Machine learning (ML) offers promise for suicide risk stratification in depressed youth, yet its cli...

Mar 2026 41856968
Distinct Biotypes of Visual Perception in Major Depressive Disorder.

Previous studies showed abnormalities in both visual motion perception (VMP) and occipital cortex ac...

Mar 2026 41847917
Risk-prediction models for postpartum depression: Assessment of risk of bias using PROBAST+AI.

OBJECTIVE: The postpartum depression (PPD) risk prediction model is an effective risk stratification...

Mar 2026 42048745
Life events extraction from healthcare notes for veteran acute suicide risk prediction.

OBJECTIVE: Predictive models of suicide risk have focused on features extracted from structured data...

Mar 2026 41842607
An artificial intelligence approach to support adolescent suicide prevention initiatives in the United States.

Adolescent suicide remains a critical public health issue in the United States, with complex, interr...

Mar 2026 41855728
Machine learning-based methods for predicting postpartum depression: A review.

Postpartum depression (PPD) is a widespread mental illness after delivery, which has a substantial i...

Mar 2026 41861439
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