AI Medical Compendium Journal:
Frontiers in psychiatry

Showing 1 to 10 of 49 articles

Application of machine learning in predicting adolescent Internet behavioral addiction.

Frontiers in psychiatry
OBJECTIVE: To explore the risk factors affecting adolescents' Internet addiction behavior and build a prediction model for adolescents' Internet addiction behavior based on machine learning algorithms.

GPT-4 generated psychological reports in psychodynamic perspective: a pilot study on quality, risk of hallucination and client satisfaction.

Frontiers in psychiatry
BACKGROUND: Recently, there have been active proposals on how to utilize large language models (LLMs) in the fields of psychiatry and counseling. It would be interesting to develop programs with LLMs that generate psychodynamic assessments to help in...

Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm.

Frontiers in psychiatry
OBJECTIVE: To explore the risk factors that affect adolescents' suicidal and self-injurious behaviors and to construct a prediction model for adolescents' suicidal and self-injurious behaviors based on machine learning algorithms.

Real-time monitoring to predict depressive symptoms: study protocol.

Frontiers in psychiatry
INTRODUCTION: According to the World Health Organization, Depression is the fourth leading cause of global disease burden. However, traditional clinical and self-report assessments of depression have limitations in providing timely diagnosis and inte...

Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide.

Frontiers in psychiatry
INTRODUCTION: Suicide is a significant public health problem, with increased rates in low- and middle-income countries such as Mexico; therefore, suicide prevention is important. Suicide is a complex and multifactorial phenomenon in which biological ...

A systematic review of structural neuroimaging markers of psychotherapeutic and pharmacological treatment for obsessive-compulsive disorder.

Frontiers in psychiatry
Identifying individual difference factors associated with treatment response and putative mechanisms of therapeutic change may improve treatment for Obsessive Compulsive Disorder (OCD). Our systematic review of structural neuroimaging markers (i.e., ...

A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD.

Frontiers in psychiatry
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children and adolescents characterized by persistent patterns of hyperactivity, impulsivity, and inattentiveness. ADHD persists for many into adult...

Lurasidone uses and dosages in Spain: RETROLUR, a real-world retrospective analysis using artificial intelligence.

Frontiers in psychiatry
INTRODUCTION: Lurasidone is used for schizophrenia and bipolar depression in many countries, yet there is a lack of existing literature about its use, efficacy, and safety in real life. We aimed to characterize lurasidone-treated patients by analyzin...

Specific endophenotypes in EEG microstates for methamphetamine use disorder.

Frontiers in psychiatry
BACKGROUND: Electroencephalogram (EEG) microstates, which reflect large-scale resting-state networks of the brain, have been proposed as potential endophenotypes for methamphetamine use disorder (MUD). However, current endophenotypes lack refinement ...

Artificial intelligence conversational agents in mental health: Patients see potential, but prefer humans in the loop.

Frontiers in psychiatry
BACKGROUND: Digital mental health interventions, such as artificial intelligence (AI) conversational agents, hold promise for improving access to care by innovating therapy and supporting delivery. However, little research exists on patient perspecti...