A LITERATURE REVIEW ON INTEGRATED PROGRAMS OF PHYSICAL EXERCISE ASSISTED BY ARTIFICIAL INTELLIGENCE: EFFECTS ON PHYSICAL AND MENTAL HEALTH IN AMATEUR ATHLETES

Abstract

Abstract: Artificial intelligence (AI) technologies are increasingly used in sport and health sciences to enable datadriven training, performance monitoring, and personalized interventions. This narrative review synthesizes evidence on AI-assisted integrated programs that combine physical exercise with nutritional and psychological components for amateur and recreational athletes. Across the reviewed literature, AI systems support individualized feedback, optimize training load, and enhance user engagement through wearables, mobile coaching, and predictive analytics. Reported benefits include improvements in body composition, aerobic fitness, muscular strength, and functional mobility, alongside better motivation, lower dropout rates, and reduced stress. Nevertheless, truly integrated models that address physical, nutritional, and psychological dimensions within the same AI-assisted program remain scarce, and studies often involve small samples, short durations, and limited algorithmic transparency. These gaps highlight the need for interdisciplinary approaches that align sport science, digital health, and behavioral psychology. The review outlines research directions to validate comprehensive AI-assisted programs tailored to amateur populations, with the goal of improving both physical and mental health outcomes through sustainable, technology-supported interventions. Keywords: artificial intelligence; physical exercise; nutrition; mindfulness; amateur athletes; adher

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