A Survey on the Use of Artificial Intelligence for Injury Prediction in Sports
Salvatore Tedesco, Sebastian Scheurer, Kenneth N. Brown, Liam Hennessy, Brendan O’Flynn
Abstract
Artificial Intelligence (AI) could play a significant role in injury prediction in sports due to its capabilities to detect and identify hidden patterns across multi-modal heterogeneous data sources. This paper aims at providing an up-to-date survey of the state-of-the-art in machine learning for injury predictions in sports. Finally, a number of considerations have been also drawn to discuss about the future research challenges required to be tackled to move this field forward.
Topics & Concepts
Computer scienceField (mathematics)ModalArtificial intelligenceMachine learningData scienceMathematicsPolymer chemistryPure mathematicsChemistryArtificial Intelligence in Healthcare and EducationSports injuries and prevention