Predicting the Objective and Subjective Clinical Outcomes of Anterior Cruciate Ligament Reconstruction: A Machine Learning Analysis of 432 Patients.

Zipeng YeTianlun ZhangChenliang WuYi QiaoWei Su Jiebo ChenGuoming XieShikui DongJunjie Xu Jinzhong Zhao

Published in: The American journal of sports medicine (2022)

Machine learning analysis can provide reliable predictions for the objective and subjective clinical outcomes (graft failure, residual laxity, PROMs, and return to sports) of ACLR. Patient-specific evaluation and decision making are recommended before and after surgery.

Keyphrases

machine learning
anterior cruciate ligament reconstruction
decision making
patient reported outcomes
artificial intelligence
big data
sleep quality
deep learning
physical activity