Fernández Quijano, InvenciónHerrera Peco, IvánLópez Espuela, FidelSuárez Llevat, CarolinaMoreno Sánchez, RaquelRuiz Núñez, Carlos2026-04-022026-04-022025Fernández-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/psychiatryint60401432673-5318https://hdl.handle.net/11268/16992Artificial 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.engAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/journal article10.3390/psychiatryint6040143open accessCiencias médicasInteligencia artificialPolítica de la saludGoal 3: Ensure healthy lives and promote well-being for all at all agesGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovationGoal 10: Reduce inequality within and among countries