Psychiatry

Health-oriented sleep states: making sleep states reflect health conditions.

STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall heal...

What's new in intravenous anaesthesia?

PURPOSE OF REVIEW: Advances in intravenous anaesthesia are driven by the need for agents with improv...

MS-STFNN: A multi-scale spatio-temporal fusion neural network for fMRI-based depression diagnosis.

Major depressive disorder (MDD) is a common mental disorder. Current clinical diagnosis primarily re...

Chatbot psychosis: moving beyond recognition to mechanistic understanding and harm reduction.

The chatbot psychosis phenomenon is no longer just a hypothesis. We call for interdisciplinary frame...

[Artificial intelligence in sychotherapy-Attitudes and competencies of medical and psychological psychotherapists].

BACKGROUND: Arificial Intelligence (AI) is increasingly becoming established in medicine, such as th...

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations.

We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based cor...

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

BACKGROUND: Parkinson's disease is a progressive neurodegenerative disorder with both motor and non-...

Targeting the MPO/LCN2/GMPPB axis in IBS-depression comorbidity: Integrated multi-omics and bidirectional network pharmacology for precision diagnostics and therapeutics.

BACKGROUND: Irritable Bowel Syndrome (IBS) and Major Depressive Disorder (MDD) exhibit high comorbid...

Toward personalized classification and treatment in depression: A narrative review of digital phenotyping and artificial intelligence.

Major depressive disorder (MDD) remains a highly heterogeneous condition, presenting significant cha...

Existing and future use cases, and safety and ethical considerations for AI in body image, and eating disorder prevention.

Artificial intelligence (AI) is rapidly transforming digital, clinical, and cultural landscapes in w...

Urban environmental determinants and their effects on mental health, physical function, and quality of life in older adults: a multidimensional study in Shiraz, Iran.

Urbanization and aging populations challenge public health in developing cities like Shiraz, where e...

Changes in Phasic Heart Rate Variability Predict Clinical Outcomes Following Emotion Regulation Therapy for Generalized Anxiety Disorder and Comorbid Depression.

Generalized anxiety disorder (GAD) and major depressive disorder (MDD) frequently co-occur and are m...

Identifying genome-by-childhood trauma interactions for depression using a forest-based approach in the UK Biobank and Adolescent Brain Cognitive Development Study.

Depression is shaped by both genetic and environmental factors, but genome-wide interaction studies ...

Multiple neural networks from cognition to motivation of prosocial behaviour in rodents: Potential mechanism between empathy and autism spectrum disorder.

Prosocial behaviour, as a facet of social behaviour across species, entails voluntary actions that b...

Profiling reasons for non-attendance in psychological assessments in adolescent suicide at-risk group using natural language processing.

BACKGROUND: Non-attendance at follow-up psychological evaluations is a major barrier to care for ado...

Potentially Harmful Consequences of Artificial Intelligence (AI) Chatbot Use Among Patients With Mental Illness: Early Data From a Large Psychiatric Service System.

Advancing Psychiatric Safety With the Predictive Risk Identification for Mental Health Events Tool: Retrospective Cohort Study.

BACKGROUND: Patient safety incidents are a leading cause of harm in psychiatric settings, yet early ...

Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: A cross-sectional SHAP-based analysis of NHANES 2009-2023.

Depression (DEP) is a common yet underdiagnosed comorbidity in adults with type 2 diabetes mellitus ...

Deep phenotyping of suicidal ideation after discharge from psychiatric inpatient care: study protocol for an interdisciplinary, multicentre prospective observational study in Psychiatric University Hospitals.

INTRODUCTION: Suicidal thoughts and behaviours (STB) are a critical public health concern, with 700 ...

Harnessing artificial intelligence to capture online mental health stigma: A scoping review.

BACKGROUND: Mental health stigma remains a major barrier to care and is increasingly expressed onlin...

Using human-robot interaction to assess emotion recognition in dialysis patients: A preliminary study.

This cross-sectional observational study examined the relationship between psychological factors and...