Mateus Nuno, Abade Eduardo, Coutinho Diogo, Gómez Miguel-Ángel, Peñas Carlos Lago, Sampaio Jaime
Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, 5000-801 Vila Real, Portugal.
Department of Sports Science, Exercise and Health, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal.
Sensors (Basel). 2024 Dec 29;25(1):139. doi: 10.3390/s25010139.
Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented insights and tools that enhance training, performance, and health management. This work examines how AI is advancing the role of sports scientists, particularly in team sports environments, by improving training load management, sports performance, and player well-being. It explores key dimensions such as load optimization, injury prevention and return-to-play, sports performance, talent identification and scouting, off-training behavior, sleep quality, and menstrual cycle management. Practical examples illustrate how AI applications have significantly advanced each area and how they support and enhance the effectiveness of sports scientists. This manuscript also underscores the importance of ensuring that AI technologies are context-specific and communicated transparently. Additionally, it calls for academic institutions to update their curriculums with AI-focused education, preparing future sports professionals to fully harness its potential. Finally, the manuscript addresses future challenges, such as the unpredictable nature of team sports, emphasizing the need for interdisciplinary collaboration, including clear communication and mutual understanding between sports scientists and AI experts, and the critical balance between AI-driven insights and human expertise.
人工智能(AI)正在通过提供前所未有的见解和工具来改变体育科学领域,这些见解和工具可提升训练、表现和健康管理水平。这项工作探讨了人工智能如何通过改善训练负荷管理、运动表现和运动员福祉来提升体育科学家的作用,特别是在团队运动环境中。它探索了诸如负荷优化、 injury prevention and return-to-play、运动表现、人才识别与选拔、非训练行为、睡眠质量和月经周期管理等关键维度。实际例子说明了人工智能应用如何显著推进了每个领域,以及它们如何支持和提高体育科学家的有效性。这份手稿还强调了确保人工智能技术针对具体情境并进行透明沟通的重要性。此外,它呼吁学术机构用专注于人工智能的教育来更新其课程,使未来的体育专业人员能够充分发挥其潜力。最后,手稿讨论了未来的挑战,如团队运动的不可预测性,强调了跨学科合作的必要性,包括体育科学家和人工智能专家之间的清晰沟通和相互理解,以及人工智能驱动的见解与人类专业知识之间的关键平衡。