AIMC Topic: Suicidal Ideation
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Oral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality.
European archives of psychiatry and clinical neuroscience
May 21, 2024
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics of patients who will benefit from ketamine treatment remain unclear. To address these gaps, we investigated temporal variations of brain functional sy...
Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study.
Journal of medical Internet research
May 17, 2024
BACKGROUND: Suicide is the second-leading cause of death among adolescents and is associated with clusters of suicides. Despite numerous studies on this preventable cause of death, the focus has primarily been on single nations and traditional statis...
Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form.
PloS one
May 10, 2024
The Suicide Crisis Syndrome (SCS) describes a suicidal mental state marked by entrapment, affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal that has predictive capacity for near-term suicidal behavior. The Suicide ...
Prediction of suicidal ideation among preadolescent children with machine learning models: A longitudinal study.
Journal of affective disorders
Feb 20, 2024
BACKGROUND: Machine learning (ML) has been widely used to predict suicidal ideation (SI) in adolescents and adults. Nevertheless, studies of accurate and efficient models of SI prediction with preadolescent children are still needed because SI is sur...
Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions.
Psychiatry
Jan 16, 2024
ObjectiveThe global surge in adolescent suicide necessitates the development of innovative and efficacious preventive measures. Traditionally, various approaches have been used, but with limited success. However, with the rapid advancements in artifi...
Development of depression assessment tools using humanoid robots -Can tele-operated robots talk with depressive persons like humans?
Journal of psychiatric research
Dec 11, 2023
BACKGROUND: Depression is a common mental disorder and causes significant social loss. Early intervention for depression is important. Nonetheless, depressed patients tend to conceal their symptoms from others based on shame and stigma, thus hesitate...
Prediction of suicidal ideation in children and adolescents using machine learning and deep learning algorithm: A case study in South Korea where suicide is the leading cause of death.
Asian journal of psychiatry
Aug 6, 2023
BACKGROUND: Korea has the highest suicide rate among Organisation for Economic Co-operation and Development (OECD) countries. Consequently, central and local governments and private organizations in Korea cooperate in promoting various suicide preven...
Predictors of suicide ideation among South Korean adolescents: A machine learning approach.
Journal of affective disorders
Feb 23, 2023
BACKGROUND: The current study developed a predictive model for suicide ideation among South Korean (Korean) adolescents using a comprehensive set of factors across demographic, physical and mental health, academic, social, and behavioral domains. The...
Identifying suicide attempts, ideation, and non-ideation in major depressive disorder from structural MRI data using deep learning.
Asian journal of psychiatry
Feb 10, 2023
The present study aims to identify suicide risks in major depressive disorders (MDD) patients from structural MRI (sMRI) data using deep learning. In this paper, we collected the sMRI data of 288 MDD patients, including 110 patients with suicide idea...
Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review.
International journal of environmental research and public health
Jan 13, 2023
(1) Introduction: Around a million people are reported to die by suicide every year, and due to the stigma associated with the nature of the death, this figure is usually assumed to be an underestimate. Machine learning and artificial intelligence su...
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