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The use of artificial intelligence in suicide prevention: opportunities, limitations, and clinical implications – A narrative review
1
Department of Psychoprophylaxis, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
2
Doctoral School, Department of Psychoprophylaxis, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
Autor do korespondencji
Dorota Turska-Czyż
Zakład Psychoprofilaktyki, Wydział Nauk Medycznych w Zabrzu ŚUM, ul. Pyskowicka 49, 42-612 Tarnowskie Góry, tel. +48 32 285 43 58
Zakład Psychoprofilaktyki, Wydział Nauk Medycznych w Zabrzu ŚUM, ul. Pyskowicka 49, 42-612 Tarnowskie Góry, tel. +48 32 285 43 58
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Introduction:
The aim of this study is to review scientific research on the application of artificial intelligence (AI) in crisis interventions related to suicidal risk. In recent years, there has been a growing interest in using AI technologies to support mental health care and suicide prevention.
Methodology:
The analysis was based on a literature review of studies available in the PubMed (n = 64) and Cochrane (n = 0) databases. The analysis encompassed the period spanning 2022 to the end of 2025 with the use of predefined keywords, including the terms “artificial intelligence” and “suicide crisis”. Redundant publications, along with articles that failed to satisfy the predefined thematic inclusion criteria, were systematically excluded (for example: review articles, expert opinions, and information on ongoing calls for research funding, conference reports). A total of 37 articles meeting the inclusion criteria were identified.
Results:
The reviewed publications highlight the potential of AI-based tools in early detection of suicidal risk, assessment, and provision of psychological support. AI models can assist professionals in monitoring, risk assessment, and delivering immediate support to individuals in crisis. However, studies emphasize limitations regarding algorithm reliability and ethical concerns, particularly the possibility of misinterpretation of sensitive data.
Conclusions:
Findings indicate the growing potential of AI in suicide prevention. Further research is necessary to ensure the effectiveness, reliability, and ethical use of AI technologies in supporting people experiencing suicidal crises.
The aim of this study is to review scientific research on the application of artificial intelligence (AI) in crisis interventions related to suicidal risk. In recent years, there has been a growing interest in using AI technologies to support mental health care and suicide prevention.
Methodology:
The analysis was based on a literature review of studies available in the PubMed (n = 64) and Cochrane (n = 0) databases. The analysis encompassed the period spanning 2022 to the end of 2025 with the use of predefined keywords, including the terms “artificial intelligence” and “suicide crisis”. Redundant publications, along with articles that failed to satisfy the predefined thematic inclusion criteria, were systematically excluded (for example: review articles, expert opinions, and information on ongoing calls for research funding, conference reports). A total of 37 articles meeting the inclusion criteria were identified.
Results:
The reviewed publications highlight the potential of AI-based tools in early detection of suicidal risk, assessment, and provision of psychological support. AI models can assist professionals in monitoring, risk assessment, and delivering immediate support to individuals in crisis. However, studies emphasize limitations regarding algorithm reliability and ethical concerns, particularly the possibility of misinterpretation of sensitive data.
Conclusions:
Findings indicate the growing potential of AI in suicide prevention. Further research is necessary to ensure the effectiveness, reliability, and ethical use of AI technologies in supporting people experiencing suicidal crises.
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