Impacto de la Inteligencia Artificial como estrategia para la gestión del entrenamiento deportivo personalizado

This study analyzes the impact of artificial intelligence (AI) on sports training, highlighting its ability to personalize exercise programs and optimize athlete performance. Objective: To identify how AI can improve the management of individualized training (IT). Methodology: A mixed-methods approach was used, based on the PRISMA protocol and the ARA methodology, reviewing relevant scientific literature from the last 10 years. Text management relied on academic search engines (Google Scholar), digital institutional repositories, and journals indexed in various databases: Redalyc, DOAJ, Latindex, and SCIMAGO, which allowed access to journals in Scopus and SciELO. Results: A rapid expansion in the use of AI was observed since 2020, with applications including dynamic load adjustment, motion analysis, and predictive models for injury prevention. The reviewed studies show that AI not only improves training effectiveness but also increases athlete participation and motivation. Conclusions: AI is emerging as an essential tool in modern sports, facilitating an individualized approach that considers the unique characteristics of each athlete. However, its implementation faces challenges related to data quality and ethics. It is crucial to ensure that AI integration is carried out responsibly, maintaining human intervention in decision-making to maximize its benefits in sports training.