AIMC Topic: Mental Disorders
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Old wine in new bottles? What is new with AI for mental health diagnosis?
Journal of medical ethics
Aug 21, 2024
Machine learning for mental health diagnosis: tackling contributory injustice and epistemic oppression.
Journal of medical ethics
Aug 21, 2024
Navigating cultural diversity: harnessing AI for mental health diagnosis despite value-laden judgements.
Journal of medical ethics
Aug 21, 2024
Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders.
Journal of medical ethics
Aug 21, 2024
Recently clinicians have become more reliant on technologies such as artificial intelligence (AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of diseases, especially mental health disorders. These remarks, however, ap...
A Deep Learning-Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Aug 13, 2024
BACKGROUND: Psychiatric disorders are traditionally classified within diagnostic categories, but this approach has limitations. The Research Domain Criteria (RDoC) constitute a research classification system for psychiatric disorders based on dimensi...
Predicting the trajectory of non-suicidal self-injury among adolescents.
Journal of child psychology and psychiatry, and allied disciplines
Aug 13, 2024
BACKGROUND: Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of p...
Identifying momentary suicidal ideation using machine learning in patients at high-risk for suicide.
Journal of affective disorders
Aug 12, 2024
BACKGROUND: Strategies to detect the presence of suicidal ideation (SI) or characteristics of ideation that indicate marked suicide risk are critically needed to guide interventions and improve care during care transition periods. Some studies indica...
Development of an eye-tracking system based on a deep learning model to assess executive function in patients with mental illnesses.
Scientific reports
Aug 6, 2024
Patients with mental illnesses, particularly psychosis and obsessive‒compulsive disorder (OCD), frequently exhibit deficits in executive function and visuospatial memory. Traditional assessments, such as the Rey‒Osterrieth Complex Figure Test (RCFT),...
Evaluating GenAI systems to combat mental health issues in healthcare workers: An integrative literature review.
International journal of medical informatics
Jul 26, 2024
BACKGROUND: Mental health issues among healthcare workers remain a serious problem globally. Recent surveys continue to report high levels of depression, anxiety, burnout and other conditions amongst various occupational groups. Novel approaches are ...
Diagnostic accuracy of large language models in psychiatry.
Asian journal of psychiatry
Jul 25, 2024
INTRODUCTION: Medical decision-making is crucial for effective treatment, especially in psychiatry where diagnosis often relies on subjective patient reports and a lack of high-specificity symptoms. Artificial intelligence (AI), particularly Large La...
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