AIMC Topic: Mental Disorders
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Artificial intelligence and forensic mental health in Africa: a narrative review.
International review of psychiatry (Abingdon, England)
Sep 23, 2024
This narrative review examines the integration of Artificial Intelligence (AI) tools into forensic psychiatry in Africa, highlighting possible opportunities and challenges. Specifically, AI may have the potential to augment screening in prisons, risk...
Artificial intelligence and psychedelic medicine.
Annals of the New York Academy of Sciences
Sep 23, 2024
Artificial intelligence (AI) and psychedelic medicines are among the most high-profile evolving disruptive innovations within mental healthcare in recent years. Although AI and psychedelics may not have historically shared any common ground, there ex...
Future of service member monitoring: the intersection of biology, wearables and artificial intelligence.
BMJ military health
Sep 20, 2024
While substantial investment has been made in the early identification of mental and behavioural health disorders in service members, rates of depression, substance abuse and suicidality continue to climb. Objective and persistent measures are needed...
Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.
JMIR mental health
Sep 18, 2024
BACKGROUND: The application of artificial intelligence (AI) to health and health care is rapidly increasing. Several studies have assessed the attitudes of health professionals, but far fewer studies have explored the perspectives of patients or the ...
Suicidal behaviors among high school graduates with preexisting mental health problems: A machine learning and GIS-based study.
The International journal of social psychiatry
Sep 5, 2024
BACKGROUND: Suicidal behavior among adolescents with mental health disorders, such as depression and anxiety, is a critical issue. This study explores the prevalence and predictors of past-year suicidal behaviors among Bangladeshi high school graduat...
H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders.
IEEE journal of biomedical and health informatics
Sep 5, 2024
Clinical studies have proved that both structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) are implicitly associated with neuropsychiatric disorders (NDs), and integrating multi-modal to the binary classifica...
The challenges of using machine learning models in psychiatric research and clinical practice.
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
Sep 3, 2024
To understand the complex nature of heterogeneous psychiatric disorders, scientists and clinicians are required to employ a wide range of clinical, endophenotypic, neuroimaging, genomic, and environmental data to understand the biological mechanisms ...
Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations.
International journal of mental health nursing
Aug 29, 2024
This research addresses the critical issue of identifying factors contributing to admissions to acute mental health (MH) wards for individuals presenting to the emergency department (ED) with MH concerns as their primary issue, notably suicidality. T...
Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review.
JMIR mental health
Aug 21, 2024
BACKGROUND: Mental stress and its consequent mental health disorders (MDs) constitute a significant public health issue. With the advent of machine learning (ML), there is potential to harness computational techniques for better understanding and add...
Designing AI for mental health diagnosis: responding to critics.
Journal of medical ethics
Aug 21, 2024
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