Injury Prevention, Optimized Training and Rehabilitation: How Is AI Reshaping the Field of Sports Medicine


  • Noomen Guelmami Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy Author
  • Feten Fekih-Romdhane The Tunisian Center of Early Intervention in Psychosis, Department of Psychiatry “Ibn Omrane”, Razi Hospital, 2010, Manouba, Tunisia Author
  • Oumaima Mechraoui Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France Author
  • Nicola L Bragazzi Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada Author



Athletics, Injury Risk, Kinesiology, Machine Learning, Smart Watch, Training Load


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.

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How to Cite

Guelmami, N., Fekih-Romdhane, F., Mechraoui, O., & Bragazzi, N. L. (2023). Injury Prevention, Optimized Training and Rehabilitation: How Is AI Reshaping the Field of Sports Medicine. New Asian Journal of Medicine, 1(1), 30-34.

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