Can machine learning can predict knee injuries? Largest data set ever collected in the field

A study conducted at the University of Jyväskylä Faculty of Information Technology's Digital Health Intelligence Laboratory used machine learning to predict anterior cruciate ligament injuries. The largest data set collected for this purpose was used, but the results show that even machine learning cannot develop a sufficiently effective model to predict injuries in individual athletes. Anterior cruciate ligament (ACL) injuries are common in team sports and cutting sports. Preventing them is important for both elite and amateur athletes. Multiple injury risk factors have been recognized in previous research, but the actual prediction of ACL injuries is still a matter of controversy.