Psychiatry

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 frameworks to systematically investigate individual characteristics and artificial intelligence related factors which (on their own or in combination) cause or contribute to this phenomenon, underlying mechanisms and the psychoeducation, ethics, policy and practices needed to reduce harm.

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

BACKGROUND: Arificial Intelligence (AI) is increasingly becoming established in medicine, such as therapeutic chatbots in mental health. Despite this, knowledge about clinicians' views and skills is lacking. This study examines the attitudes toward AI and competencies of German physicians (ÄPT), psychotherapists (PPT) and psychotherapists in training (PiA) for the first time. METHOD: Cross-section...

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 corridor system that records locomotor and explorator...

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-motor symptoms. Mental and behavioural non-motor s...

Multimodal AI System for Plastic Surgery Diagnosis and Decision-Making Using Deep Learning of Psychological Questionnaires and Three-Dimensional Facial Data.

PURPOSE: To design and develop an AI-based plastic surgery recommendation system using 3D photographs and psychological questionnaire surveys, aiming ...

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 comorbidity, driven by dysregulation of gut-brain axis int...

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 challenges for effective diagnosis and treatment. Tra...

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 ways that hold significant implications for body im...

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 environmental factors significantly influence old a...

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 marked by greater chronicity, severity, and poorer ...

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 (GWIS) often lack power to detect complex gene-env...

The effect of an artificial intelligence- supported screen-based simulation on breast self-examination in nursing students: A sequential mixed-methods study.

AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported simulation in improving nursing students' breast self...

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 benefit others, including helping and comforting be...

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 adolescents at risk of suicide. Identifying the facto...

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 warning systems (EWS) tailored to mental health re...

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 (T2DM), worsening glycemic control and increasing ...

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 700 000 deaths by suicide each year. The period immedi...

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 online. Artificial intelligence (AI) may offer scalable...

The future of PCOS management: Disease modification through regenerative, metabolic, and digital therapeutics.

Polycystic ovary syndrome (PCOS) represents the leading endocrine problem affecting women of reproductive age, leading to serious complications relate...