AIMC Topic: Mental Disorders
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Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.
BMC health services research
Apr 16, 2025
BACKGROUND: As mental health disorders continue to surge, exceeding the capacity of available therapeutic resources, the emergence of technologies enabled by artificial intelligence (AI) offers promising solutions for supporting and delivering patien...
An enhanced CNN-Bi-transformer based framework for detection of neurological illnesses through neurocardiac data fusion.
Scientific reports
Apr 3, 2025
Classical approaches to diagnosis frequently rely on self-reported symptoms or clinician observations, which can make it difficult to examine mental health illnesses due to their subjective and complicated nature. In this work, we offer an innovative...
Validation of a generative artificial intelligence tool for the critical appraisal of articles on the epidemiology of mental health: Its application in the Middle East and North Africa.
Journal of epidemiology and population health
Apr 3, 2025
Mental health disorders have a high disability-adjusted life years in the Middle East and North Africa. This rise has led to a surge in related publications, prompting researchers to use AI tools like ChatGPT to reduce time spent on routine tasks. Ou...
Nanopsychiatry: Advancing psychiatric diagnosis and monitoring through nanotechnology-based detection.
Clinica chimica acta; international journal of clinical chemistry
Mar 26, 2025
Nanopsychiatry, operating at the nanoscale, leverages engineered nanomaterials and nanodevices to revolutionize psychiatric diagnostics and therapeutics. This review systematically analyzes the implementation of advanced nanomaterials, including quan...
An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study.
JMIR medical informatics
Mar 26, 2025
BACKGROUND: Machine learning (ML) systems in health care have the potential to enhance decision-making but often fail to address critical issues such as prediction explainability, confidence, and robustness in a context-based and easily interpretable...
Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning-Based Advanced Perspectives.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 20, 2025
Mental disorders are a representative type of brain disorder, including anxiety, major depressive depression (MDD), and autism spectrum disorder (ASD), that are caused by multiple etiologies, including genetic heterogeneity, epigenetic dysregulation,...
The impact of AI-driven sentiment analysis on patient outcomes in psychiatric care: A narrative review.
Asian journal of psychiatry
Mar 16, 2025
This article addresses the pressing question of how advanced analytical tools, specifically artificial intelligence (AI)-driven sentiment analysis, can be effectively integrated into psychiatric care to enhance patient outcomes. Utilizing specific se...
AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data.
International journal of medical informatics
Mar 12, 2025
BACKGROUND: Suicide is a major global health issue, with approximately 700,000 deaths annually (WHO). In psychiatric wards, managing harmful behaviors such as suicide, self-harm, and aggression is essential to ensure patient and staff safety. However...
Individual and integrated indexes of inflammation predicting the risks of mental disorders - statistical analysis and artificial neural network.
BMC psychiatry
Mar 11, 2025
OBJECTIVE: The prevalence of mental illness in Taiwan increased. Identifying and mitigating risk factors for mental illness is essential. Inflammation may be a risk factor for mental illness; however, the predictive power of inflammation test values ...
Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets.
Neural networks : the official journal of the International Neural Network Society
Feb 28, 2025
Objective classification biomarkers that are developed using resting-state functional magnetic resonance imaging (rs-fMRI) data are expected to contribute to more effective treatment for psychiatric disorders. Unfortunately, no widely accepted biomar...
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