Psychiatry

Depression

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

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Showing 1-21 of 1,937 articles
Serotonin Neurobiology and Artificial Intelligence-Driven Biomarker Detection in Affective Disorders: A Comprehensive Review.

Affective disorders, including major depressive disorder (MDD) and generalized anxiety disorder (GAD...

Oct 2026 42904642
Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder.

IMPORTANCE: Early identification of patients at high risk of relapse is key to personalized preventi...

Oct 2026 42905697
Assisting Screening of Adolescent Depression With Large Language Models as Symptom Detectors: Algorithm Development and Validation.

BACKGROUND: Depression prevalence is rising in adolescents and young adults (ages 10-24 years). Trad...

Oct 2026 42906143
[Artificial intelligence in child and adolescent psychiatry: A critical review of uses, evidence and relational stakes].

OBJECTIVES: To critically appraise the main current and emerging uses of artificial intelligence (AI...

Oct 2026 42907297
Predicting mental health risk in adolescents using interpretable machine learning: Evidence from SHAP analysis.

BACKGROUND/OBJECTIVE: Adolescent mental health is a critical public health concern; however, the com...

Oct 2026 42905621
Investigating the role of mental health and lifestyle behaviours in the risk of adolescent suicidal behaviours through machine learning.

BACKGROUND: Suicidal behaviors among adolescents are a serious global public health concern and are ...

Oct 2026 42905624
Cyber-pornography use among a sample of Chinese university students: utilizing machine learning and network analysis.

BACKGROUND: Due to the popularity and convenience of the internet, cyber-pornography use among youth...

(1)
Oct 2026 42830224
Greater proximity to greenspace is associated with fewer depressive symptoms among urban middle-aged adults.

BACKGROUND: Understanding the factors that influence depression is crucial for both its treatment an...

(3)
Oct 2026 42895091
Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study.

BACKGROUND: Depression is a common mental disorder that seriously affects mental health and quality ...

(4)
Oct 2026 42896101
Direct Effects Multiplicative Inference (DEMI): causal prediction from pairwise clinical relationships, applied to antidepressant response.

OBJECTIVE: This paper introduces Direct Effects Multiplicative Inference (DEMI), a causal algorithm ...

(2)
Oct 2026 42892463
Mental Health Factors in Cardiothoracic Surgery Risk Prediction Models: A Systematic Review.

BACKGROUND: Mental health disorders are associated with substantial morbidity and death in cardiovas...

(2)
Oct 2026 42885781
Small-sample ERP-assisted screening for depression and audio multimodal fusion based on the MODMA dataset.

OBJECTIVE: Event-related potentials (ERPs) may provide objective neurophysiological markers for depr...

(10)
Oct 2026 42887530
New tools may help decide who needs antidepressants.

Amid a U.S. push for "deprescribing," researchers are finding ways to match patients to their optima...

(3)
Oct 2026 42879557
Unravelling the planetary health diet index-depression nexus: utilisation of network and machine learning approaches.

Adherence to the planetary health diet index (PHDI) is associated with health benefits, but its rela...

(3)
Oct 2026 42878158
Assessment of change in drug-induced parkinsonism in daily-life gait using vision-based machine learning.

Drug-induced parkinsonism is a potentially reversible movement disorder that may be subtle and diffi...

(4)
Oct 2026 42879498
Virtual reality (bio-)markers differentiate ADHD from depression and controls.

The heterogeneity of attention-deficit/hyperactivity disorder (ADHD) and its symptom overlap with ot...

(4)
Oct 2026 42869999
Using valence and arousal scoring in speech to detect depressive symptoms: A study on family caregivers.

BACKGROUND: Depression is a prevalent mental health condition that significantly affects individuals...

(3)
Oct 2026 42873791
A global atlas of the gut virome reveals subtype-specific and functional alterations in irritable bowel syndrome.

The gut virome is a critical component of the microbiome-gut-brain axis; however, its role in irrita...

(8)
Oct 2026 42861963
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