Psychiatry

Depression

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

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Showing 631-651 of 1,937 articles
Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI.

Resting-state functional MRI (rs-fMRI) is widely used for diagnosing and analyzing brain disorders. ...

Nov 2025 41349174
Machine Learning Algorithms for Predicting Injurious Fall Risk Among Older Adults With Depression: A Prognostic Modeling Study.

BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression....

Nov 2025 41310296
Trajectories of affective disorders: neurobiological mechanisms during symptom change.

Effective treatment of affective disorders (AD) requires a deep understanding of the underlying neur...

(1)
Nov 2025 41263959
Bridging tradition and innovation: Acupuncture for depression through clinical efficacy and neurobiological insights.

BACKGROUND: To elucidate the research progress on acupuncture therapy as a complementary and alterna...

Nov 2025 41265714
Early identification of pediatric depression in western China: A multicenter, citywide evaluation of nine machine learning models.

BACKGROUND: Childhood depression is an emerging global concern, yet knowledge and early detection to...

Nov 2025 41265655
Decoding depression with computer vision-assisted analysis of synchronized facial expressions.

BACKGROUND: Facial expressions convey nonverbal signals of internal emotional states and hold potent...

Nov 2025 41237962
Depression screening with textual and audio features based on large language models and machine learning.

BACKGROUND: Depression is a complex disorder that cannot be fully screened by textual features alone...

Nov 2025 41253255
Suicidal thoughts and behaviours among construction workers: Identifying risks and protective factors.

BACKGROUND: The construction industry records concerningly high rates of suicide compared to other i...

Nov 2025 41241071
Symptom trajectories and their predictive factors in psychiatric inpatients with depression.

BACKGROUND: Depression presents with heterogeneity in symptom trajectories, complicating individuali...

Nov 2025 41232687
Development of explainable machine learning-based prediction models of depression with mild and severe insomnia in middle-aged and elderly Chinese people.

BACKGROUND: The risk of depression is significantly elevated in middle-aged and older adults with in...

(1)
Nov 2025 41224010
Unconscious elevated bottom-up processing in depression: Insights from dynamic causal modeling with EEG and fMRI.

INTRODUCTION: MRI compatible EEG systems enable simultaneous EEG-fMRI data assessment, which provide...

Nov 2025 41224023
Medication-based mortality prediction in COPD using machine learning and conventional statistical methods.

BACKGROUND: Predicting mortality in chronic obstructive pulmonary disease (COPD) patients supports c...

(1)
Nov 2025 41202398
Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review.

Suicide remains a public health challenge, necessitating improved detection methods to facilitate ti...

Nov 2025 41203082
Machine learning prediction of suicide attempts in major depression: Feature selection and model development using national survey data.

BACKGROUND: The study aimed to explore the risk factors of suicidal attempts (SA) in patients with m...

Nov 2025 41197916
Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders.

Biomarker research in psychopathology increasingly employs high-dimensional Omics approaches. Yet, p...

Nov 2025 41275754
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