The Role of AI and Machine Learning in Revolutionizing Sports Physical therapy – A Call for Discussion: AI & ML in Sports Physical Therapy

Zaimal  Ilyas; Arfa  Rasool; Aamir-ul-Memon

Authors

Zaimal Ilyas Riphah International University, Lahore, Pakistan
Arfa Rasool Riphah International University, Lahore, Pakistan
Aamir-ul-Memon Shandong University, China https://orcid.org/0000-0002-7378-6855

Keywords:

Artificial Intelligence, Machine Learning, Rehabilitation

Abstract

Artificial intelligence (AI) and machine learning (ML) are transforming sports physical therapy by enabling injury prediction, personalized rehabilitation, and remote monitoring. AI-driven tools enhance athlete performance, prevent injuries, and optimize recovery. While challenges exist, integrating AI with human expertise can revolutionize rehabilitation and sports medicine for improved outcomes.

DOI: https://doi.org/10.59564/amrj/03.01/002

Author Biographies

Zaimal Ilyas, Riphah International University, Lahore, Pakistan

Student, Masters in Science of Sports Physical Therapy

Arfa Rasool, Riphah International University, Lahore, Pakistan

Student, Masters in Science of Sports Physical Therapy

Aamir-ul-Memon, Shandong University, China

PhD Scholar, School of Basic Medical Science

References

Kueper JK. Developing artificial intelligence and machine learning to support primary care research and practice [dissertation]. The University of Western Ontario (Canada); 2022.

Yang L, Amin O, Shihada B. Intelligent wearable systems: opportunities and challenges in health and sports. ACM Comput Surv. 2024;56(7):1-42.

DOI: https://doi.org/10.1145/3648469

Teikari P, Pietrusz A. Precision strength training: data-driven artificial intelligence approach to strength and conditioning. 2021.

DOI: https://doi.org/10.31236/osf.io/w734a

Sullivan KJ, Tilson JK, Cen SY, Rose DK, Hershberg J, Correa A, et al. Fugl-Meyer assessment of sensorimotor function after stroke: standardized training procedure for clinical practice and clinical trials. Stroke. 2011;42(2):427-32.

DOI: https://doi.org/10.1161/STROKEAHA.110.592766

Desai V, editor. The future of artificial intelligence in sports medicine and return to play. Semin Musculoskelet Radiol. 2024. Thieme Medical Publishers, Inc.

DOI: https://doi.org/10.1055/s-0043-1778019

Rowe M, Nicholls DA, Shaw J. How to replace a physiotherapist: artificial intelligence and the redistribution of expertise. Physiother Theory Pract. 2022;38(13):2275-83.

DOI: https://doi.org/10.1080/09593985.2021.1934924

Shlobin NA, Ward M, Shah HA, Brown ED, Sciubba DM, Langer D, et al. Ethical incorporation of artificial intelligence into neurosurgery: a generative pre-trained transformer chatbot-based, human-modified approach. World Neurosurg. 2024

DOI: https://doi.org/10.1016/j.wneu.2024.04.165.