人工智能与自杀预防：一项系统综述

Artificial intelligence and suicide prevention: a systematic review.

作者信息

Lejeune Alban, Le Glaz Aziliz, Perron Pierre-Antoine, Sebti Johan, Baca-Garcia Enrique, Walter Michel, Lemey Christophe, Berrouiguet Sofian

机构信息

URCI Mental Health Department, Brest Medical University Hospital, Brest, France.

Mental Health Department, French Polynesia Hospital, FFC3+H9G, Pirae, French Polynesia.

出版信息

Eur Psychiatry. 2022 Feb 15;65(1):1-22. doi: 10.1192/j.eurpsy.2022.8.

BACKGROUND

Suicide 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.

METHODS

A systematic review of the literature was conducted on PubMed, EMBASE, and SCOPUS databases, using relevant keywords.

RESULTS

Thanks 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.

CONCLUSIONS

AI 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.