PERSPECTIVE article
Front. Musculoskelet. Disord.
Sec. Musculoskeletal Diagnostic Imaging Techniques
Advancing Sports Medicine Through Technology: Some Applications and Future Visions
Provisionally accepted
Farid Amirouche1,2*
Ishani Patel1- 1University of Illinois Chicago, Chicago, United States
- 2Department of Orthopaedic Surgery, University of Illinois Health, Chicago, United States
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Introduction: This paper examines the transformative impact of technology on sports medicine, highlighting its current applications and prospects. As advancements continue to emerge, the integration of innovative tools aims to enhance athlete care and improve performance. Hypothesis and Aim: The study's primary objective is to evaluate the effectiveness of diagnostic imaging, wearable devices, motion capture systems, and data analytics in the prevention, diagnosis, and rehabilitation of athletic injuries. Furthermore, it aims to highlight the potential of current sports data collection methods to advance preventive medicine and to leverage virtual simulations to assess injuries and optimize rehabilitation practices. Methodology: A comprehensive analysis of recent technological advancements in monitoring and data collection is conducted, focusing on their role in preventing injuries related to overuse and fatigue. By leveraging real-time data, these technologies enhance athlete performance and safety. Conclusion: By highlighting these technological advancements, this study articulates a visionary perspective on the future of sports medicine. It demonstrates how the effective integration of athlete data can elevate treatment protocols, refine prevention strategies, and ultimately enhance athletes' outcomes. The paper also discusses key innovations across biomechanics, wearable technology, advanced diagnostic imaging, rehabilitation technologies, machine learning, and immersive training experiences, underscoring the critical intersection of engineering and sports medicine.
Keywords: Sports Medicine, Rehabilitation, Diagnostic Imaging, wearable devices, Sensors, Virtual reality (VR), Augmented Reality (AR), smart devices
Received: 10 Apr 2025; Accepted: 29 Oct 2025.
Copyright: © 2025 Amirouche and Patel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Farid Amirouche, amirouch@uic.edu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.