Artificial Intelligence in Suicide Prevention: A Systematic Review of Randomized Controlled Trials on Risk Prediction, Fully Automated Interventions, and AI-Guided Treatment Allocation
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Fernández Quijano, Invención
Herrera Peco, Iván
López Espuela, Fidel
Suárez Llevat, Carolina
Moreno Sánchez, Raquel
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Abstract
Artificial intelligence (AI) has been proposed as a transformative tool in suicide prevention, yet most evidence remains observational. To provide a rigorous benchmark, we systematically reviewed randomized controlled trials (RCTs) evaluating AI-based interventions targeting suicidal thoughts, behaviours, or help-seeking.
AI can enhance discrete processes in suicide prevention, including risk stratification, help-seeking, and personalized treatment. However, the current evidence is limited, and larger multisite RCTs with longer follow-up, CONSORT-AI compliance, and equity-focused design are urgently required.
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Fernández-Quijano, I., Herrera-Peco, I., López-Espuela, F., Suárez-Llevat, C., Moreno-Sánchez, R., & Ruíz-Núñez, C. (2025). Artificial intelligence in suicide prevention: A systematic review of randomized controlled trials on risk prediction, fully automated interventions, and ai-guided treatment allocation. Psychiatry International, 6(4), 143. https://doi.org/10.3390/psychiatryint6040143
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https://doi.org/10.3390/psychiatryint6040143Type of document
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