Sports injuries are a major issue for all athletes, but joint injuries particularly so for athletes in the rigorous sport of athletics, whose very sustainability depends on the sustainability of athletes. New sports science technologies are turning joint injuries into a transparent box problem with new understanding of their causes and new efficacy in preventing them. In this article, we review the state of the art in sports science technologies such as wearable sensors, artificial intelligence, computer vision and biomechanical modelling which work together to decode the micro-mechanics of joint damage. With an application and current research perspective centred around China and Asia, this article addresses the challenges remaining in these technologies including data integration, accessibility of technology, and development of intervention solutions tailored to individuals. Through the discussion of representative case studies, this review highlights how these new technologies enable personalised and precise joint management for improved injury prevention and rehabilitation. This review aims to drive the development of an intelligent prevention ecosystem which can not only improve the performance of Asian athletes but also protect their musculoskeletal health in the new era of sports medicine and athletics training.
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