Psychiatry

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

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Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders.

Recently clinicians have become more reliant on technologies such as artificial intelligence (AI) an...

Effects of track-based stair climbing robot on muscle activity, usability, and psychological anxiety: a preliminary study.

This study investigated the effects of using the LiftCar-150 track-based stair-climbing robot on mus...

Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning.

Suicidal thought and behavior (STB) is highly stigmatized and taboo. Prone to censorship, yet pervas...

Quality and correctness of AI-generated versus human-written abstracts in psychiatric research papers.

This study aimed to assess the ability of an artificial intelligence (AI)-based chatbot to generate ...

Spatiotemporal discoordination of brain spontaneous activity in major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is a widespread mental health issue, impacting spatial a...

Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research.

BACKGROUND: Our study delves into postpartum depression (PPD) extending observation up to six months...

Using Data-Driven Algorithms with Large-Scale Plasma Proteomic Data to Discover Novel Biomarkers for Diagnosing Depression.

Given recent technological advances in proteomics, it is now possible to quantify plasma proteomes i...

Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction.

PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms lik...

Immune-based Machine learning Prediction of Diagnosis and Illness State in Schizophrenia and Bipolar Disorder.

BACKGROUND: Schizophrenia and bipolar disorder frequently face significant delay in diagnosis, leadi...

The influence of mental calculations on brain regions and heart rates.

Performing mathematical calculations is a cognitive activity that can affect biological signals. Thi...

Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the...

Predicting the trajectory of non-suicidal self-injury among adolescents.

BACKGROUND: Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiat...

Gender-specific factors of suicidal ideation among high school students in Yunnan province, China: A machine learning approach.

BACKGROUND: Suicidal ideation (SI) assumes a pivotal role in predicting suicidal behaviors. The inci...

Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence.

BACKGROUND: Prevalence of suicidal behaviour increases rapidly in middle to late adolescence. Predic...

Identifying momentary suicidal ideation using machine learning in patients at high-risk for suicide.

BACKGROUND: Strategies to detect the presence of suicidal ideation (SI) or characteristics of ideati...

Predictive roles of cognitive biases in health anxiety: A machine learning approach.

Prior work suggests that cognitive biases may contribute to health anxiety. Yet there is little rese...

Multilevel hybrid handcrafted feature extraction based depression recognition method using speech.

BACKGROUND AND PURPOSE: Diagnosis of depression is based on tests performed by psychiatrists and inf...

Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.

BACKGROUND: The global research on pandemics or epidemics and mental health has been growing exponen...

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