Psychiatry

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

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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...

Industrial Robotics and the Future of Work.

Starting in the 1970s with robots that were physically isolated from contact with their human co-wor...

Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review.

Schizophrenia is a severe yet treatable mental disorder, and it is diagnosed using a multitude of pr...

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...

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...

Anxiety disorder identification with biomarker detection through subspace-enhanced hypergraph neural network.

In this study, we propose a subspace-enhanced hypergraph neural network (seHGNN) for classifying anx...

Hugan Tiaoshen Formula Improves the Comorbid Mechanism of Schizophrenia and Sleep Disorder via Multitarget Interaction Network.

This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncov...

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...

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...

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...

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.

BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable ma...

BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults.

BACKGROUND: Despite the high suicide rate in South Korea, older adults are reluctant to see a psychi...

AI-Assisted Deception and the Emerging Challenge of LLMs in Forensic Psychiatry.

Generative artificial intelligence (AI), including the large language model ChatGPT, has introduced ...

A Pilot Analysis Investigating the Use of AI in Malingering.

Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transfo...

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...

[EVALUATION OF SCREENING FOR PTSD USING CONSORT AI RECOMMENDATIONS WITH A LARGE LANGUAGE MODEL].

Similar to major natural disasters and large-scale wars, the events of October 7th and the retaliato...

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