Psychiatry

Depression

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

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Showing 1513-1533 of 1,939 articles
Suicide- and crisis-risk detection using large language models in mental-health chatbots

ObjectiveLarge language models (LLMs) are increasingly embedded in mental-health chatbots, yet safe ...

Decoding chronic stress: From behavioral-molecular dynamics in mice to clinical implications of cortisol and IL-17 in depression severity.

BACKGROUNDS: The etiology of depression involves chronic stress, a recognized determinant of onset a...

Sep 2025 40381861
Predicting depression in healthy young adults: A machine learning approach using longitudinal neuroimaging data.

Accurate prediction of depressive symptoms in healthy individuals can enable early intervention and ...

Jul 2025 40412672
Multimodal depression recognition and analysis: Facial expression and body posture changes via emotional stimuli.

BACKGROUND: Clinical studies have shown that facial expressions and body posture in depressed patien...

Jul 2025 40187420
Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.

BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment...

Jul 2025 40187431
Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening

Static tools like the Patient Health Questionnaire-9 (PHQ-9) effectively screen depression but lac...

Prediction of Adolescent Suicide Attempt by Integrating Clinical, Neurocognitive and Geocoded Neighborhood Environment Data.

BACKGROUND AND HYPOTHESIS: Suicide attempt is a complex behavior influenced by a combination of fact...

(1)
Jul 2025 40476927
Molecular Machine Learning Using Euler Characteristic Transforms

The shape of a molecule determines its physicochemical and biological properties. However, it is o...

A Weight-Aware-Based Multisource Unsupervised Domain Adaptation Method for Human Motion Intention Recognition.

Accurate recognition of human motion intention (HMI) is beneficial for exoskeleton robots to improve...

Jul 2025 40392643
Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction.

OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental healt...

Jul 2025 40493528
Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior.

BACKGROUND: People with psychosis have a higher suicide risk than the general population. Natural la...

(1)
Jul 2025 40334457
Machine learning approaches for classifying major depressive disorder using biological and neuropsychological markers: A meta-analysis.

Traditional diagnostic methods for major depressive disorder (MDD), which rely on subjective assessm...

Jul 2025 40354957
Prediction of post stroke depression with machine learning: A national multicenter cohort study.

OBJECTIVE: Post-stroke depression (PSD) is a common psychiatric complication following stroke, with ...

Jul 2025 40359805
Construction and verification of risk prediction model for suicidal attempts of mood disorder based on machine learning.

BACKGROUND: Mood disorders (MD) are closely related to suicide attempt (SA). Developing an effective...

Jul 2025 40139405
Exploring artificial intelligence (AI) Chatbot usage behaviors and their association with mental health outcomes in Chinese university students.

Technology dependence has long been a critical public health issue, especially among young people. W...

(2)
Jul 2025 40147615
The Application of Large Language Models on Major Depressive Disorder Support Based on African Natural Products

Major depressive disorder represents one of the most significant global health challenges of the 2...

Neuroimaging pattern interactions for suicide risk in depression captured by ensemble learning over transcriptome-defined parcellation.

BACKGROUND: For suicide in major depression disorder, it is urgent to seek for a reliable neuroimagi...

(2)
Jun 2025 40320231
A Model-Mediated Stacked Ensemble Approach for Depression Prediction Among Professionals

Depression is a significant mental health concern, particularly in professional environments where...

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis.

BACKGROUND: In the context of escalating global mental health challenges, adolescent suicide has bec...

(1)
Jun 2025 40522723
Developing an interpretable machine learning model for screening depression in older adults with functional disability.

This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study da...

(1)
Jun 2025 40049534
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