Background The application of artificial intelligence (AI) opens an interesting perspective for
predicting injury risk and performance in team sports. A better understanding of the …

The purpose of this article is to present how predictive machine learning methods can be
utilized for detecting sport injury risk factors in a data-driven manner. The approach can be …

Purpose Injuries are common in sports and can have significant physical, psychological and
financial consequences. Machine learning (ML) methods could be used to improve injury …

Attempts to better understand the relationship between training and competition load and
injury in football are essential for helping to understand adaptation to training programmes …

Purpose: To assess injury risk in elite-level youth football players based on anthropometric,
motor coordination and physical performance measures with a machine learning approach …

Artificial intelligence (AI) represents the fourth industrial revolution and the next frontier in
medicine poised to transform the field of orthopaedics and sports medicine, though …

Injuries are a common occurrence in team sports and can have significant financial, physical
and psychological consequences for athletes and their sporting organizations. As such, an …

This article reviews developments in the use of Artificial Intelligence (AI) in sports
biomechanics over the last decade. It outlines possible uses of Expert Systems as diagnostic …

In the last decade, the number of studies about machine learning algorithms applied to
sports, eg, injury forecasting and athlete performance prediction, have rapidly increased …

The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …