This innovative study addresses the prevalent issue of sports injuries, particularly focusing
on ankle injuries, utilizing advanced analytical tools such as artificial intelligence (AI) and …

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 …

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 …

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 …

Avoiding injuries in sports has always depended on historical records and human
experience. This is despite using injuries being a major and unsolvable issue. The …

Sport-related injuries impose a substantial economic burden, and they often have persisting
adverse effects on health-related quality of life. Abundant research evidence points to a …

Use injuries, ie, injuries caused by repetitive strain on the body, represent a serious problem
in athletics that has traditionally relied on historic datasets and human experience for …

Injuries are one of the biggest determinants of performance in sports. Injury to key players
can cost teams millions of dollars in salary, lost revenue and can be the difference between …

Purpose: Staying injury free is a major factor for success in sports. Although injuries are
difficult to forecast, novel technologies and data-science applications could provide …

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 …