Machine learning predicts early recurrence after liver surgery.

A new machine learning model successfully predicted early extrahepatic recurrence (EEHR) following curative resection of colorectal liver metastases (CRLM). Among 1,410 patients, 131 (9.3%) experienced EEHR, with median overall survival significantly lower for affected patients (35.4 months) versus those without (120.5 months, p < 0.001). The model achieved a c-index of 0.77, highlighting primary tumor categories and tumor burden as key predictors. An online risk calculator is now available to assist clinicians.