The Impact of Machine Learning in Sport Injury Rehabilitation: A Specialist Perspective

Abstract

One specific component of the athletic performance management paradigm is sports injuries and their rehabilitation. It plays a major role in a competitor's good recuperation and long-term physical well-being. This study looks at athletes' histories of sports recovery and develops several machine learning models based on these findings. This paper aims to assess the current state of machine learning applications for sports injuries and determine how each injury element— extrinsic, intrinsic, and triggering events—should be analyzed. The current dearth of models and open-source data sets, as well as the effectiveness of ML in sports injury prediction, are the conclusions drawn.