Abstract

AbstractBackgroundSuicide is one of the main preventable causes of death. Artificial intelligence (AI) could improve methods for assessing suicide risk. The objective of this review is to assess the potential of AI in identifying patients who are at risk of attempting suicide.MethodsA systematic review of the literature was conducted on PubMed, EMBASE, and SCOPUS databases, using relevant keywords.ResultsThanks to this research, 296 studies were identified. Seventeen studies, published between 2014 and 2020 and matching inclusion criteria, were selected as relevant. Included studies aimed at predicting individual suicide risk or identifying at-risk individuals in a specific population. The AI performance was overall good, although variable across different algorithms and application settings.ConclusionsAI appears to have a high potential for identifying patients at risk of suicide. The precise use of these algorithms in clinical situations, as well as the ethical issues it raises, remain to be clarified.

Highlights

  • Overall mortality from suicide is currently about 700,000 deaths per year [1]

  • The objective of this review is to evaluate the potential of Artificial intelligence (AI) in predicting individual suicide risk and identifying individuals at risk of suicide attempt in a population

  • AI is increasingly being used in suicide research, with a recent increase in the number of studies published

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Summary

Introduction

Overall mortality from suicide is currently about 700,000 deaths per year [1]. Suicide and suicidal behaviour are a public health concern. The personal and family history, of suicide attempt, plays a major role in assessing suicide risk. Personal history of suicide attempt is the most significant factor in the risk of death by suicide [2]. Patients with severe mental illness, in particular mood disorder, borderline personality disorder, and anorexia nervosa, are more likely to attempt suicide [3,4]. They are at higher risk of recurrence in the years following the first attempt [5]. The objective of this review is to assess the potential of artificial intelligence in identifying patients who are at risk of attempting suicide

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