Artificial Intelligence Powered Movement Analysis for Preventing Injuries and Enhancing Performance in Sports Physiotherapy
DOI:
https://doi.org/10.52783/jns.v14.3993Keywords:
Artificial Intelligence, sports physiotherapy, injury prevention, wearable technology, machine learningAbstract
The use of Artificial Intelligence (AI) in sports physiotherapy for injury prevention and enhancement of performance has huge potential for the overall effectiveness and applicability of solutions based on AI. This study investigated the emerging potential of AI models that are capable of operating across different kinds of data inputs and over various sports, seeking generalizability and scalability. The study aims to address the challenge of real-time monitoring and sensor comfort, and its focus is on developing new non-intrusive and wearable technologies to promote continuous data collection. An injury prevention AI algorithm intends to reduce the likelihood of false positives, with customized and precise solutions for athletes. This research also looks at how to reduce the computational complexity of these AI models studying more efficient, lightweight systems that are available to both high-performance and recreational athletes. We will ensure that AI models are versatile through adaptive calibration and dynamic adjustments to integrate multiple athlete profiles. The paper also delves into the role of the AI vs human in injury detection, with the aim that AI complements professional knowledge instead of overriding it. Lastly, the article goes on to explore dealing with the environmental and contextual aspects of injuries along with other multi-modal data.
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