Psychiatry

Depression

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

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Showing 64-84 of 1,353 articles
Use of childhood adversity and mental health admission patterns to predict suicide in young people.

Dougall et al found that mental health admissions are a strong predictor of suicide risk in young pe...

Functional connectivity alterations of the pregenual anterior cingulate cortex by ketamine and the modulation by lamotrigine.

BACKGROUND: Neuroimaging studies have linked the beneficial effects of subanaesthetic ketamine doses...

Prospective prediction of first onset of major depressive disorder in midlife using machine learning.

PURPOSE: In this paper we leverage machine learning (ML) models to prospectively predict the first o...

Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study.

Nearly 60 % of individuals with bipolar disorder (BD) are initially classified as major depressive d...

Psychedelics, entactogens and psychoplastogens for depression and related disorders.

Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PT...

Real-world effectiveness of cariprazine in major depressive disorder and bipolar I disorder in the United States.

AIMS: The efficacy of cariprazine for major depressive disorder (MDD) (adjunctive therapy) and bipol...

Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.

Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive...

Enhancing differentiation between unipolar and bipolar depression through integration of machine learning and electroencephalogram analysis.

To enhance the differentiation between unipolar depression (UPD) and bipolar depression (BPD), this ...

Multivariate brain morphological patterns across mood disorders: key roles of frontotemporal and cerebellar areas.

BACKGROUND: Differentiating major depressive disorder (MDD) from bipolar disorder (BD) remains a sig...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-ma...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

Evaluating and modifying the PHDI for depression prevention: insights from NHANES 2005-2018.

BACKGROUND: Depression is a significant focus in mental health research, emerging as a pressing publ...

ChatGPT-4o vs Psychiatrists in Responding to Common Antidepressant Concerns.

PurposeArtificial intelligence (AI) is increasingly integrated into healthcare, including psychiatri...

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