A Perspective on the Potential of Utilizing AI Models for Predicting Athletic Injuries

Abstract

The goal of this research paper is to investigate the prospective of utilizing artificial intelligence in order to predict athletic injuries. I examine injury categorization across multiple kinds of injuries and then dive deep into AI methods, specifically machine learning, and how it has the possibility of predicting injuries. I discuss the positives, along with the negatives, of using AI with this specific domain. I also discuss risk factors, along with risk prediction, and show an example pipeline model for a mechanism that can be used to predict injuries for anyone, and especially athletes.