Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Injury Prevention, Optimized Training and Rehabilitation: How Is AI Reshaping the Field of Sports Medicine
24
Zitationen
4
Autoren
2023
Jahr
Abstract
Artificial intelligence (AI) has the potential to develop the field of sports medicine. It can be used to improve injury prevention by analyzing player performance data, biomechanical factors and physiological indicators to identify injury risk and develop personalized prevention programs. Likewise, AI can improve training strategies by analyzing data and performance metrics to create individualized and precise training programs, optimizing intensity and duration while avoiding overtraining. Additionally, AI can redefine rehabilitation by dynamically influencing rehabilitation programs, providing real-time feedback, and customizing therapies based on individual recovery. In this editorial we present in detail the benefits of AI in these three areas and we discuss ethical considerations for using AI as a powerful tool in an appropriate way.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.