Psychiatry

Depression

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

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Showing 400-420 of 1,937 articles
Multivariate machine learning regression approaches to predict adolescent suicide risk.

BACKGROUND: Suicide is a leading cause of death among adolescents, yet most prediction models rely o...

Apr 2026 41990521
Identification and independent validation of white matter subtypes in major depressive disorder and their role in predicting treatment response.

Major depressive disorder (MDD) is a complex psychiatric disorder characterized by diverse clinical ...

Apr 2026 41962669
The relationship between mental health disorders and LUTS.

This narrative review explores the complex relationship between lower urinary tract symptoms (LUTS) ...

(1)
Apr 2026 41996723
Digital and AI-enhanced psychosocial interventions in breast cancer patients: a systematic review and meta-analysis.

PURPOSE: Digital and AI-supported psychosocial interventions are increasingly implemented to address...

Apr 2026 41949762
Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study.

BACKGROUND: Passive smartphone sensing shows promise for suicide prevention, but behavioral metadata...

Apr 2026 41950375
Multimodal fusion of speech and PHQ-9 for machine learning-based adolescent depression screening.

BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported sympto...

Apr 2026 41956220
New directions for the Edinburgh Postnatal Depression Scale: towards an EPDS-R (revised).

The Edinburgh Postnatal Depression Scale (EPDS) has been translated into over 60 languages, and for ...

Apr 2026 41936581
Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach.

This study aimed to develop and validate a machine learning (ML) model to identify the minimal risk ...

Apr 2026 41941504
Predictive neuroimaging biomarkers of major depressive disorder treatment response: An umbrella review.

Major depressive disorder (MDD) is a heterogeneous condition with varied responses to pharmacologica...

(2)
Apr 2026 41935973
Machine learning-based risk classification of depressive symptoms among patients with hearing loss: evidence from the Health and Retirement Study (HRS).

BACKGROUND: Depression is a common and debilitating condition among individuals with hearing loss, s...

Apr 2026 42004398
LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.

Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individu...

Apr 2026 41936289
Multimorbidity and major adverse cardiovascular events in antipsychotic users: Time-to-event prediction by explainable machine learning.

Antipsychotic treatment is associated with higher risk of major adverse cardiovascular events (MACEs...

(1)
Apr 2026 42063537
Bipolar disorder relapse detection and prediction using smartwatches. A pilot study for machine learning models using anomaly detection methods.

BACKGROUND: Bipolar disorder (BD) is a chronic mental illness with recurrent mood episodes, with up ...

Apr 2026 41936981
Predicting Ketamine Exposure in Pediatric Status Epilepticus: A Pharmacokinetic-Machine Learning Approach.

BACKGROUND AND OBJECTIVE: Status epilepticus is a life-threatening neurological emergency. Ketamine ...

(1)
Apr 2026 41933112
The impact of the radical urbanization index on depression risk among middle-aged and elderly Chinese: Evidence from a large-scale cross-sectional study.

BACKGROUND: Rapid urbanization in China, while boosting socioeconomic development, has triggered "ra...

Apr 2026 41931487
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