Delusions

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Delusional Experiences Emerging From AI Chatbot Interactions or "AI Psychosis".

JMIR mental health Dec 3, 2025
The integration of artificial intelligence (AI) into daily life has introduced unprecedented forms of human-machine interaction, prompting psychiatry to reconsider the boundaries between environment, cognition, and technology. This Viewpoint reviews ...
Humans Psychotic Disorders Delusions Artificial Intelligence Generative Artificial Intelligence
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Can generative artificial intelligence facilitate illustration of- and communication regarding hallucinations and delusions?

Acta psychiatrica Scandinavica Mar 15, 2024
Delusions Communication Hallucinations Humans Artificial Intelligence
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Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.

Journal of affective disorders Nov 6, 2018
BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine lea...
Hallucinations Delusions Feeding and Eating Disorders Cross-Sectional Studies Area Under Curve Machine Learning Male Age Factors Alcoholism Algorithms Tobacco Use Disorder Middle Aged Substance-Related Disorders Hospitalization Female Demography Humans Bipolar Disorder Adult Cohort Studies ROC Curve
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A symptom network structure of the psychosis spectrum.

Schizophrenia research Feb 22, 2017
Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific mental disorder and do not take into account the variation in co-occurring symptoms and the interaction between the symptoms themselves. The innovative ne...
Psychotic Disorders Adult Psychopathology Male Neural Networks, Computer Adolescent Humans Middle Aged Delusions Young Adult Longitudinal Studies Psychiatric Status Rating Scales
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Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.

International psychogeriatrics Mar 1, 2020
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
Middle Aged Disease Progression Aged, 80 and over Male Cognitive Dysfunction Dementia Anxiety Depression Humans Machine Learning Female Aged Delusions Behavioral Symptoms Sleep Wake Disorders Aggression Longitudinal Studies Neuropsychological Tests
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