Uso de la inteligencia artificial para la monitorización y prevención de enfermedades mentales.

Abstract

Nowadays, the prevalence of mental illness has increased considerably in society. In this context, the use of AI in mental health services is presented as an innovative tool for the early detection and prevention of mental disorders, as it helps to detect early patterns and symptoms that may not be evident to humans. The objective of this research is to determine the effective use of artificial intelligence in the monitoring and prevention of mental illness. The methodology of this research was based on a descriptive and explanatory study through an exhaustive bibliographic review, using historical-logical, analytical-synthetic and inductive-deductive methods to analyze relevant sources from indexed databases. The information was organized into thematic folders and key articles were selected through a prior analysis. The results obtained demonstrate that AI improves the diagnosis and treatment of mental illnesses through advanced algorithms, real-time data analysis, and natural language processing. It also facilitates clinical decisions, personalization of therapies, prediction of responses to interventions, and assisted diagnosis. Despite facing ethical and technical challenges, it offers accessible, efficient, and low-cost care. Likewise, in order to inform health personnel about the use of AI in monitoring and preventing mental illnesses, a structured brochure was designed, with essential data on the use of AI and its main benefits.