Blog

Artificial Intelligence in Sports Physiotherapy

Book Title: AI Horizons – Exploring Multidisciplinary Frontiers (Volume 4)

Editors: Dr. Shweta A. Bansal and Dr. Charu Chhabra (PT)

ISBN: 978-81-984464-6-6

Chapter: 10

DOI: https://doi.org/10.59646/aihc10/305

Authors: Madhusmita Jena, Deepak Malhotra, Richa Malhotra, Charu Chhabra

Abstract

Artificial intelligence (AI), which has been elaborately discussed in this chapter, is revolutionizing other professions as well as the field of sports medicine. This chapter provides a thorough examination of the vital role that AI plays in sports medicine with regard to injury prevention, diagnosis, rehabilitation, and performance enhancement. The fundamentals of AI and machine learning (ML) have been covered with examples that how they may be used in sports medicine and injury prediction. It identifies a new partnership that might enhance the precision and quality of athletes’ care provided by physiotherapists using smart technologies. Additionally, it talks about the AI chatbots that by consumer discussions, are revolutionising the promotion of physical activity and aiding in development of good eating habits. Also, we have tried to understand the evolution in sports training and rehabilitation principles that has taken place after the introduction of AI, which enables athletes to produce precise, unique, and technically enhanced performance. AI as an advanced technology has the potential to enhance sporting performance, reduce the incidence of injuries, and promote general wellness.

References

  1. Quartey, J., Afidemenyo, S., & Kwakye, S. K. Athletes’ expectations about physiotherapy in sports injury rehabilitation in greater Accra region. Hong Kong Physiother J, 39(02), 101-114, 2019.
  2. I. Health, “How AI is transforming Physiotherapy,” blog.intelligenthealth.ai. https://blog.intelligenthealth.ai/how-ai-is-transforming-physiotherapy
  3. Tack, C. Artificial intelligence and machine learning| applications in musculoskeletal physiotherapy. Musculoskelet Sci Pract, 39, 164-169, 2019.
  4. Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. Digital transformation: A multidisciplinary reflection and research agenda. J. Bus. Res., 122, 889-901, 2021.
  5. Estel, K., Scherer, J., Dahl, H., Wolber, E., Forsat, N. D., & Back, D. A. Potential of digitalization within physiotherapy: a comparative survey. BMC Health Serv. Res., 22(1), 496, 2022.
  6. Davenport, T., & Kalakota, R. The potential for artificial intelligence in healthcare. Future Healthc. J, 6(2), 94, 2019.
  7.  “What is AI (Artificial Intelligence)?,” GeeksforGeeks, Jul. 05, 2020. https://www.geeksforgeeks.org/what-is-artificial-intelligence/
  8. Ahuja, A. S. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7, e7702, 2019.
  9. Anyoha, R. The history of artificial intelligence-science in the news. Harvard graduate school of arts and sciences, 1, 2017.
  10. Chmait, N., & Westerbeek, H. Artificial intelligence and machine learning in sport research: An introduction for non-data scientists. Front. Sports Act. Living, 3, 363, 2021.
  11. Bajwa, J., Munir, U., Nori, A., & Williams, B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc. J, 8(2), e188, 2021.
  12. Padala, V. S., Gandhi, K., & Dasari, P. Machine learning: the new language for applications. IAES Int. J. Artif. Intell., 8(4), 411, 2019.
  13. Ciaburro, G., & Venkateswaran, B. Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles. Packt Publishing Ltd., 2017
  14. Bohr, A., & Memarzadeh, K. The rise of artificial intelligence in healthcare applications. In Artificial Intelligence in healthcare (pp. 25-60). Academic Press, 2020.
  15. Ramkumar, P. N., Luu, B. C., Haeberle, H. S., Karnuta, J. M., Nwachukwu, B. U., & Williams, R. J. Sports medicine and artificial intelligence: a primer. Am J Sports Med, 50(4), 1166-1174, 2022.
  16. Kampakis, S. Predictive modelling of football injuries. arXiv preprint arXiv:1609.07480, 2016.
  17. Saini, A. Support vector machine (svm): A complete guide for beginners. analyticsvidhya. Com, 2021.
  18. Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. Wearable performance devices in sports medicine. Sports health, 8(1), 74-78, 2016.
  19. Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. Deep learning for healthcare: review, opportunities and challenges. Brief. Bioinform., 19(6), 1236-1246, 2018.
  20. Malligy El, A. D. M., & Ibrahim, Dr. Mohamed. (2023). Artificial Intelligence and the Sports Industry. Sci. J. Appl. Res. Sports Field, 3(1), 54-88, 2023.
  21. Kakavas, G., Malliaropoulos, N., Pruna, R., & Maffulli, N. Artificial intelligence: a tool for sports trauma prediction. Injury, 51, S63-S65, 2020.
  22. Tang, X. The role of artificial intelligence in medical imaging research. BJR| Open, 2(1), 20190031, 2019.
  23. Fayed, A. M., Mansur, N. S. B., de Carvalho, K. A., Behrens, A., D’Hooghe, P., & de Cesar Netto, C. Artificial intelligence and ChatGPT in Orthopaedics and sports medicine. J. Exp. Orthop., 10(1), 74, 2023.
  24. Dhillon, H., Dhilllon, S., & Dhillon, M. S. Current concepts in sports injury rehabilitation. Indian J. Orthop., 51(5), 529-536, 2017.
  25. Liu-Ambrose, T., & Li, L. C. Physiotherapy for healthy aging. Physiother. Can., 74(1), 1-3, 2022.
  26. Kumar, Y., Koul, A., Singla, R., & Ijaz, M. F. Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. J. Ambient Intell. Humaniz. Comput., 14(7), 8459-8486, 2023.
  27. Ferioli, D., Rampinini, E., Bosio, A., La Torre, A., Azzolini, M., & Coutts, A. J. The physical profile of adult male basketball players: Differences between competitive levels and playing positions. J. Sports Sci., 36(22), 2567-2574, 2018.
  28. Claudino, J. G., Capanema, D. D. O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Med Open, 5, 1-12, 2019.
  29. Owens, J. G., Rauzi, M. R., Kittelson, A., Graber, J., Bade, M. J., Johnson, J., & Nabhan, D. How new technology is improving physical therapy. Curr. Rev. Musculoskelet. Med., 13, 200-211, 2020.
  30. Zeng, C., Huang, Y., Yu, L., Zeng, Q., Wang, B., & Xu, Y. (2021). Long-term assessment of rehabilitation treatment of sports through artificial intelligence research. Computational and Mathematical Methods in Medicine, 2021.
  31. Liao, Y., Thompson, C., Peterson, S., Mandrola, J., & Beg, M. S. The future of wearable technologies and remote monitoring in health care. Am Soc Clin Oncol Educ Book, 39, 115-121, 2019.
  32. Giordano, C., Brennan, M., Mohamed, B., Rashidi, P., Modave, F., & Tighe, P. Accessing artificial intelligence for clinical decision-making. Front. digit. Health., 3, 645232, 2021.
  33. Taye, M. M. Understanding of machine learning with deep learning: architectures, workflow, applications and future directions. Computers, 12(5), 91, 2023.
  34. Sarabia, J. M., Roldan, A., Henríquez, M., & Reina, R. Using decision trees to support classifiers’ decision-making about activity limitation of cerebral palsy footballers. Int. J. Environ. Res. Public Health, 18(8), 4320, 2021.
  35. S. Pathak, “Markov Chain Algorithm in Sports,” Analytics Vidhya, https://medium.com/analytics-vidhya/markov-chain-algorithm-in-sports-a54d086c155e, 2021.
  36. Saini, A. Support vector machine (svm): A complete guide for beginners. analyticsvidhya. Com, 2021.
  37.  “Unleashing the Power of Data Science in Sports – Case Studies,” www.odinschool.com. https://www.odinschool.com/blog/unleashing-the-power-of-data-science-in-sports-case-studies, 2023
  38. Delua, J. Supervised vs. unsupervised learning: What’s the difference. IBM Analytics, 12, 2021.
  39. He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. The practical implementation of artificial intelligence technologies in medicine. Nat. Med., 25(1), 30-36, 2019.
  40. Liu-Ambrose, T., & Li, L. C. Physiotherapy for healthy aging. Physiother. Can., 74(1), 1-3, 2022.
  41. Majumdar, A., Bakirov, R., Hodges, D., Scott, S., & Rees, T. Machine learning for understanding and predicting injuries in football. Sports Med Open., 8(1), 73, 2022.
  42. Sanket, N. J. Active vision based embodied-ai design for nano-uav autonomy (Doctoral dissertation, University of Maryland, College Park), 2021.
  43. Meeuwisse, W. H., Tyreman, H., Hagel, B., & Emery, C. A dynamic model of etiology in sport injury: the recursive nature of risk and causation. Clin J Sport Med, 17(3), 215-219, 2007.
  44. Johnson, K. B., Wei, W. Q., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K., … & Snowdon, J. L. Precision medicine, AI, and the future of personalized health care. Clin. Transl. Sci., 14(1), 86-93, 2021.
  45. Claudino, J. G., Capanema, D. D. O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports med.open, 5, 1-12 2019.
  46. Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet. J. Med. Internet Res., 22(9), e22845, 2020.
  47. Chidambaram, S., Maheswaran, Y., Patel, K., Sounderajah, V., Hashimoto, D. A., Seastedt, K. P., … & Darzi, A. Using artificial intelligence-enhanced sensing and wearable technology in sports medicine and performance optimisation. Sensors, 22(18), 6920, 2022.
  48.  “The Future of Kinesiology: How AI Can Detect Potential Injuries in Athletes,” Inspirit AI, https://www.inspiritai.com/blogs/ai-student-blog/ai-in-sports-medicine, 2023
  49. Gross, D. P., Armijo-Olivo, S., Shaw, W. S., Williams-Whitt, K., Shaw, N. T., Hartvigsen, J., … & Steenstra, I. A. Clinical decision support tools for selecting interventions for patients with disabling musculoskeletal disorders: a scoping review. J. Occup. Rehabil., 26, 286-318, 2016.
  50. Ramanandi, V. H. Role and scope of artificial intelligence in physiotherapy: A scientific review of literature. Int. J. Adv. Sci., 6(1), 11-14, 2021.
  51. Insights10, “Insights10,” Insights10.com. https://www.insights10.com /report/china-artificial-intelligence-ai-in-healthcare-market-analysis/, 2022
  52. Kim, D., Lee, J., Woo, Y., Jeong, J., Kim, C., & Kim, D. K. Deep learning application to clinical decision support system in sleep stage classification. J. Pers. Med., 12(2), 136, 2022.
  53. Aziz R, Sundus H, Jawed F, Chhabra C. Embracing technological innovations: the integration of AI in physiotherapy. In D. A. Ode & S. Kumar (Eds.), Recent Trends in Multidisciplinary Research; c2023. p. 275-288. Red Shine Publications. ISBN: 978-91-89764-51-4.32.
  54. Aziz R, Jawed F, Sundus H, Chhabra C, Khan S. Advancing Healthcare: Harnessing Artificial Intelligence and Machine Learning In Physiotherapy Practice. In D. A. Ode & S. Kumar (Eds.), Recent Trends in Multidisciplinary Research; c2023 p . 252-265. RedShine Publications. ISBN:978-91-89764-51-4
    Karimzadehfini, A., Mahdavinejad, R., Zolaktaf, V., & Vahdatpour, B. Forecasting of rehabilitation treatment in sufferers from lateral displacement of patella. Sport Sci Health, 14, 37-45, 2018.
  55. Aziz, R., Siddiqui, A., Sundus, H., Jawed, F., & Khan, S. A. (2024). Innovations in Robotic-Assisted Physiotherapy: Enhancing Rehabilitation and Recovery. In S. Baral & R. Goel (Eds.), Analyzing Current Digital Healthcare Trends Using Social Networks (pp. 125-142). IGI Global. https://doi.org/10.4018/979-8-3693-1934-5.ch007
  56. Wang, W. Artificial intelligence in repairing meniscus injury in football sports with perovskite nanobiomaterials. J. Healthc. Eng., 2021.
  57. Tang, Y., Chen, Z., & Lin, X. (2022). Characteristics and rehabilitation training effects of shoulder joint dysfunction in volleyball players under the background of artificial intelligence. Comput Intell Neurosci., 2022.