Artificial Intelligence for Injury Prevention and Recovery in Sport Medicine

Artificial Intelligence (AI) has increasingly been adopted in various fields of medicine due to its ability to represent complex patterns in high-dimensional, noisy, and/or unstructured datasets. Within sports, AI has demonstrated utility in applications such as tactical decision making, performative analytics, game planning, and data collection. Centering on athletes and their health and longevity, the field of sports medicine is increasingly adopting AI

Methods: . Herein, we review trends in the development of AI for injury prevention and recovery in sports. Specifically, we classify technologies as “on the body” (e.g., wearables) or “out of the body” (e.g., extrinsic monitoring) to examine how sensor technology, computer vision, biomechanics, and rehabilitation and recovery have intersected towards injury prevention in sports medicine. Notably, our selectively reviewed literature emphasizes how AI algorithms have enhanced the detection of injury risk, monitoring of athlete workload, and personalisation of rehabilitation programs. Finally, we outline various ongoing and anticipated challenges towards a fully realized future of AI-augmented sports medicine.