From injury to comeback: A systematic review of machine learning models predicting return to sport in athletes

Machine learning techniques demonstrate promising potential for predicting RTS in athletes. Nevertheless, substantial heterogeneity across studies-particularly in RTS definitions, feature selection, and model development which limits the generalizability and clinical applicability of current models.