Machine learning and markerless gait analysis show high predictive accuracy for return-to-sport readiness and re-injury risk
Machine Learning Helps Predict Return to Sport After ACL Injury
This meta-analysis evaluates the use of machine learning and markerless gait analysis in patients with lower extremity injuries. Wearable se…
New technology using wearable sensors and motion analysis can help predict when athletes are ready to return to sports after a ligament inju…
Neuromuscular training reduces ACL injury risk in athletes: meta-analysis
Neuromuscular training cuts ACL injury risk in athletes
This systematic review and meta-analysis of 19 studies found that neuromuscular training significantly reduces the risk of ACL injury in ath…
A new analysis of 19 studies finds that neuromuscular training can cut the risk of ACL injuries in athletes by more than half.
Observational study finds distinct injury patterns by sport and sex in 307 young Chinese athletes
Study in Beijing schools finds distinct injury patterns in young athletes by sport and sex
An observational cohort study of 307 young athletes in Beijing schools used an integrated motor function assessment framework to examine inj…
Young male athletes mostly suffer leg injuries while female volleyball players face shoulder injuries, showing school sports need tailored p…