Psychiatry

Depression

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

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Photoplethysmography-based HRV analysis and machine learning for real-time stress quantification in mental health applications.

Prolonged exposure to high-stress environments can lead to mental illnesses such as anxiety disorder...

Effect of a ChatGPT-based digital counseling intervention on anxiety and depression in patients with cancer: A prospective, randomized trial.

BACKGROUND: Psychological distress is prevalent among newly diagnosed cancer patients, often exacerb...

Gene age gap estimate (GAGE) for major depressive disorder: A penalized biological age model using gene expression.

Recent associations between Major Depressive Disorder (MDD) and measures of premature aging suggest ...

Multivariate Classification of Adolescent Major Depressive Disorder Using Whole-brain Functional Connectivity.

RATIONALE AND OBJECTIVES: Adolescent major depressive disorder (MDD) is a serious mental health cond...

The interpretable machine learning model for depression associated with heavy metals via EMR mining method.

Limited research exists on the association between depression and heavy metal exposure. This study a...

Exploring the Potential of Large Language Models for Automated Safety Plan Scoring in Outpatient Mental Health Settings.

The Safety Planning Intervention (SPI) produces a plan to help manage patients' suicide risk. High-q...

Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation.

The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls ca...

Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection.

OBJECTIVE: To develop a stratified screening tool through machine learning approaches for the Center...

Unveiling sex difference in factors associated with suicide attempt among Chinese adolescents with depression: a machine learning-based study.

BACKGROUND: Adolescents with depression are at heightened risk of suicide, with a distinct sex diffe...

Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning-Based Advanced Perspectives.

Mental disorders are a representative type of brain disorder, including anxiety, major depressive de...

Generalizability of clinical prediction models in mental health.

Concerns about the generalizability of machine learning models in mental health arise, partly due to...

Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI).

BACKGROUND: Accurately diagnosing Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpati...

Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.

OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly ind...

Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI.

BACKGROUND: Depression has a detrimental effect on an individual's mental and musculoskeletal streng...

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis.

Brain functional connectivity analysis is important for understanding brain development and brain di...

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry.

The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug develop...

AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data.

BACKGROUND: Suicide is a major global health issue, with approximately 700,000 deaths annually (WHO)...

S-ketamine exposure in early postnatal period induces social deficit mediated by excessive microglial synaptic pruning.

The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical a...

Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...

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