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Utilization of Machine Learning to Identify Lower Extremity Biomechanical Predictors of Rupture in a Validated Cadaveric Model of ACL Injury
Advantages Predicts injury risk proactively, moving beyond reactive post-injury diagnostic approaches Enables continuous real-time risk monitoring seamlessly through compatible wearable sensor technology Delivers up to 95% predictive accuracy using advanced machine learning classification models Extends beyond ACL injuries to monitor and predict...
Published: 5/11/2026   |   Updated: 5/11/2026   |   Inventor(s): Parsa Khorrami, Taofeek Braimoh, Nathaniel Bates, Dayane Reis, Nathan Schilaty, John Templeton
Keywords(s): Biomechanics, Machine Learning, Sensors
Category(s): Technology Classifications > Medical > Medical Sensors