Psychiatry

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

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Machine-Learning-Based Prediction of Suicide Risk Using Preliminary Questionnaire and Consultation Text.

In Japan, chat-based mental health counseling services have low response rates due to understaffing....

Predicting Postpartum Depression Risk Using Social Determinants of Health.

Postpartum depression (PPD) affects approximately 20% of women after childbirth and has complex etio...

Predicting Antidepressant Deprescription with Machine Learning Using Administrative Data.

The high prevalence of failed antidepressant deprescription attempts makes it difficult for clinicia...

Optimizing Entity Recognition in Psychiatric Treatment Data with Large Language Models.

Extracting nuanced adverse drug reactions (ADRs) from patient self-reported messages using is pivota...

Correction to "Understanding the nature of face processing in early autism: A prospective study" by Tye et al. (2022).

Reports an error in "Understanding the nature of face processing in early autism: A prospective stud...

An Explainable Connectome Convolutional Transformer for Multimodal Autism Spectrum Disorder Classification.

The diagnosis of autism spectrum disorder (ASD) is often hampered by its heterogeneity and reliance ...

Virtual and Augmented Reality in Undergraduate Medical Education in Psychiatry: A Systematic Review.

BACKGROUND: Simulation is widely used in medical education in all specialties; in psychiatry, it usu...

Analysis of the neural mechanisms of social anxiety based on EEG features and machine learning and construction of a diagnostic model.

Social anxiety is a common psychological problem, and its accurate diagnosis and investigation of un...

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

The global impact of COVID-19 has caused a significant rise in the demand for psychological counseli...

From resting-state functional hippocampal centrality to functional outcome: An extended neurocognitive model of psychosis.

BACKGROUND: We previously proposed a neurocognitive model of psychosis in which reduced morphometric...

Cortical myelin mapping in antipsychotic medication-naïve, first-episode psychosis patients.

While white matter myelin primarily functions to accelerate conduction velocity and has been extensi...

Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.

Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treat...

MT-RCAF: A Multi-Task Residual Cross Attention Framework for EEG-based emotion recognition and mood disorder detection.

BACKGROUND AND OBJECTIVE: Prolonged abnormal emotions can gradually evolve into mood disorders such ...

Blood immuno-metabolic biomarker signatures of depression and affective symptoms in young adults.

BACKGROUND: Depression is associated with alterations in immuno-metabolic biomarkers, but it remains...

Using machine learning approach to predict suicide ideation and suicide attempts among Chinese adolescents: A cross-sectional study.

BACKGROUND: Screening for suicide ideation and suicide attempts is crucial for adolescents, yet accu...

Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews.

INTRODUCTION: Suicide remains a critical global public health issue, with approximately 800,000 deat...

The effect of social robot interventions on anxiety in children in clinical settings: a systematic review and meta-analysis.

AIMS: Children in clinical settings are prone to anxiety due to developmental limitations, which hin...

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