AIMC Topic: Mental Disorders
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Acceptance of Using Artificial Intelligence and Digital Technology for Mental Health Interventions: The Development and Initial Validation of the UTAUT-AI-DMHI.
Clinical psychology & psychotherapy
Jan 1, 2025
Digital health technologies are being increasingly integrated into mental healthcare. This means that patients have different treatment options, and clinicians need to consider different ways of supporting their patients too. The adoption of Digital ...
Developing a machine learning algorithm to predict psychotropic drugs-induced weight gain and the effectiveness of anti-obesity drugs in patients with severe mental illness: Protocol for a prospective cohort study.
PloS one
Jan 1, 2025
Obesity is a global public health concern, often co-occurring in patients with severe mental illnesses. The impact of psychotropic drugs-induced weight gain is augmenting the disease burden and healthcare expenditure. However, predictors of psychotro...
[From AI to polygenic risk scores: which innovations will shape the future of psychiatry?].
Tijdschrift voor psychiatrie
Jan 1, 2025
BACKGROUND: In recent years, developments have been made in various research domains, from treatments with (es)ketamine to large-scale genome-wide association studies (GWAS).
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2025
OBJECTIVES: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented in narrative clinical notes r...
Detection of suicidality from medical text using privacy-preserving large language models.
The British journal of psychiatry : the journal of mental science
Dec 1, 2024
BACKGROUND: Attempts to use artificial intelligence (AI) in psychiatric disorders show moderate success, highlighting the potential of incorporating information from clinical assessments to improve the models. This study focuses on using large langua...
Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.
Journal of psychopathology and clinical science
Nov 1, 2024
Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can oversimplify clinical presentations as diagnoses often do not adequately map onto neurobiological features. Alternatively, our study used structural imag...
Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review.
Studies in health technology and informatics
Jul 24, 2024
Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursing, to address the limitations of traditional approaches and meet escalating mental health challenges. A scoping review analyzed 48 articles examining...
Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents.
European child & adolescent psychiatry
Jun 1, 2024
The global and cultural context of using AI for mental health.
Journal of public health (Oxford, England)
May 29, 2024
AI and ethics in mental health: exploring the controversy over the use of ChatGPT.
Journal of public health (Oxford, England)
May 29, 2024
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