Prevención del suicidio en contextos digitales

Abstract

With the aim of analyzing the scientific evidence on digital technologies and artificial intelligence in suicide prevention through a systematic review, the PRISMA methodology was applied by consulting five academic databases (Web of Science, Scopus, PubMed, Science Direct, EBSCO) using specific Boolean operators. Out of 600 initial records, 40 studies (2020-2025) were selected after applying inclusion/exclusion criteria. The results indicate that the identified technologies include therapeutic chatbots, large language models, machine learning algorithms, and social media analysis. They showed effectiveness in early detection, psychoeducational intervention, and emotional support in diverse populations (adolescents, adults, veterans). Conclusions establish that digital technologies and AI present significant potential for suicide prevention, requiring rigorous clinical validations and ethical frameworks for safe implementation.