About this Research Topic

Background

Suicide is one of the top leading causes of death in the world. Many risk factors are associated with increased suicide risk, including depression, anxiety, sociodemographic factors and substance use.

Due to the emergency of the issue, psychiatrists and other scientists are constantly seeking new ways to identify people at risk. Recent innovations in suicide research methods may similarly expand our understanding of the psychological and neurobiological correlates of suicidal thoughts and behaviors.

The goal of this Research Topic is to collect studies on prediction models and tools that assist suicide prevention, as well as gather more information on their predictive accuracy and clinical utility.

We welcome studies on:

- Computational models to predict suicide risk
- Clinical tools to identify people at risk of suicide attempts
- Innovative technologies and interventions that may reduce the risk
- Ethical and/or feasibility analyses of suicide risk prediction systems
- Individual- or population-level interventions to prevent suicide

Dr. David Benrimoh is a shareholder, founder and employee of Aifred Health. The other Topic Editors declare no competing interests with regard to the Research Topic subject.

Keywords: Suicide Prevention, Intervention, Novel Techniques

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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