AIMC Topic: Mental Disorders

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Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Despite the high prevalence and burden of mental health conditions, there is a global shortage of mental health providers. Artificial Intelligence (AI) methods have been proposed as a way to address this shortage, by supporting providers with less ex...
Artificial Intelligence Mental Disorders Humans
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Evaluation of deep learning-based depression detection using medical claims data.

Artificial intelligence in medicine Dec 4, 2023
Human accuracy in diagnosing psychiatric disorders is still low. Even though digitizing health care leads to more and more data, the successful adoption of AI-based digital decision support (DDSS) is rare. One reason is that AI algorithms are often n...
Humans Algorithms Deep Learning Depression Mental Disorders Adult
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Arts therapies for mental disorders in COVID-19 patients: a comprehensive review.

Frontiers in public health Dec 4, 2023
BACKGROUND AND OBJECTIVE: The COVID-19 global pandemic has necessitated the urgency for innovative mental health interventions. We performed a comprehensive review of the available literature on the utility and efficacy of arts therapies in treating ...
Mental Health Humans Health Personnel COVID-19 Mental Disorders
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Psychological factors underlying attitudes toward AI tools.

Nature human behaviour Nov 20, 2023
What are the psychological factors driving attitudes toward artificial intelligence (AI) tools, and how can resistance to AI systems be overcome when they are beneficial? Here we first organize the main sources of resistance into five main categories...
Humans Empirical Research Artificial Intelligence Cognition Mental Disorders Intention
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Ten Simple Rules for Using Machine Learning in Mental Health Research.

Biological psychiatry Nov 18, 2023
Mental Health Humans Biomedical Research Machine Learning Mental Disorders
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Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders.

Scientific reports Oct 3, 2023
Deep-learning approaches with data augmentation have been widely used when developing neuroimaging-based computer-aided diagnosis (CAD) systems. To prevent the inflated diagnostic performance caused by data leakage, a correct cross-validation (CV) me...
Neural Networks, Computer Computers Humans Deep Learning Mental Disorders Diagnosis, Computer-Assisted
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Advancements in Drug Repurposing: Examples in Psychiatric Medications.

International journal of molecular sciences Jul 1, 2023
Because there are a limited number of animal models for psychiatric diseases that can be extrapolated to humans, drug repurposing has been actively pursued. This study was aimed at uncovering recent trends in drug repurposing approaches and new techn...
Drug Repositioning Humans Artificial Intelligence Mental Disorders Animals
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New directions in psychiatric drug development: promising therapeutics in the pipeline.

Expert opinion on drug discovery Jun 23, 2023
INTRODUCTION: Psychiatric disorders are a leading cause of disability worldwide, calling for an urgent need for new treatments, early detection, early intervention, and precision medicine. Drug discovery and development in psychiatry continues to exp...
Precision Medicine Drug Discovery Biomarkers Humans Artificial Intelligence Mental Disorders
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Artificial intelligence in adolescents mental health disorder diagnosis, prognosis, and treatment.

Frontiers in public health Mar 31, 2023
Neural Networks, Computer Deep Learning Artificial Intelligence Adolescent Humans Prognosis Machine Learning Mental Health Mental Disorders
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Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging.

EBioMedicine Mar 28, 2023
BACKGROUND: Identifying individuals at risk for severe mental illness (SMI) is crucial for prevention and early intervention strategies. While MRI shows potential for case identification even before illness onset, no practical model for mental health...
Machine Learning Mental Disorders Female Young Adult Humans Artificial Intelligence Magnetic Resonance Imaging Middle Aged Adult Adolescent Mental Health
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