Psychiatry

Depression

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

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Showing 1492-1512 of 1,939 articles
Identification of Suicide-Related Subgroups Using Latent Class Analysis: Complementary Insights to Explainable AI-Based Classification

Purpose: Suicide and self-harm are major public health concerns characterized by substantial clinica...

Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests

Objective. We establish a principled method for inferring mental health related psychometric variabl...

A widespread electrical brain network encodes anxiety in health and depressive states

In rodents, anxiety is characterized by heightened vigilance during low-threat and uncertain situati...

Multi-Criteria Validation of LLM-Inferred Depression Severity from Outpatient Psychiatry Notes

Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limite...

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IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis

Depression is a severe mental disorder, and reliable identification plays a critical role in early i...

Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis

Brain network analysis based on functional Magnetic Resonance Imaging (fMRI) is pivotal for diagnosi...

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

Dynamic functional connectivity captures time-varying brain states for better neuropsychiatric diagn...

Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy

In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that...

Bias and Fairness in Self-Supervised Acoustic Representations for Cognitive Impairment Detection

Speech-based detection of cognitive impairment (CI) offers a promising non-invasive approach for ear...

Disentangling Symptom Heterogeneity in Large-Scale Psychiatric Text: Domain-Adapted vs. Instruction-Tuned Transformers

Psychiatric disorders are fundamentally challenged by symptom heterogeneity, high comorbidity, and t...

Precision stratification of risk for suicidal behavior in people with bipolar depression

Patients with bipolar depression are at the highest risk for suicidal behavior, comprising ~10% of a...

Life-course comorbidity patterns and integrated prediction of postpartum depression, multimorbidity, and symptom progression

Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...

Reproducible symptom subtypes of depression identified using unsupervised machine learning

Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, ind...

Circuit-Specific Resting-State fMRI Signatures for Stratifying First-Episode Major Depressive Disorder and Predicting Recurrence Risk

Background: Depression is biologically heterogeneous, and first-episode depression (FED) carries a h...

A Non-Invasive 3D Gait Analysis Framework for Quantifying Psychomotor Retardation in Major Depressive Disorder

Predicting the status of Major Depressive Disorder (MDD) from objective, non-invasive methods is an ...

Regulatory Hub Discovery in MDD Methylome: Hypotheses for Molecular Subtypes via Computational Analysis

Major Depressive Disorder (MDD) is a clinically heterogeneous syndrome with diverse etiological path...

NIMETOX-informed Precision Nomothetic Models of Major Depressive Disorder: Group, Phenome, and Individual Signatures

Background: Major depressive disorder (MDD) is a neuro-immune-metabolic-oxidative (NIMETOX) disorder...

Student Mental Health Screening via Fitbit Data Collected During the COVID-19 Pandemic

College students experience many stressors, resulting in high levels of anxiety and depression. Wear...

Depression Detection Based on Electroencephalography Using a Hybrid Deep Neural Network CNN-GRU and MRMR Feature Selection

This study investigates the detection and classification of depressive and non-depressive states usi...

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