Artificial intelligence predicts non-transplantable recurrence in hepatocellular carcinoma

Artificial intelligence models accurately predicted non-transplantable recurrence in hepatocellular carcinoma patients post-hepatic resection. An ensemble AI model showed high accuracy (AUC 0.751-0.858) with incorporation of postoperative factors. Radiologic tumor burden and microvascular invasion were key predictors. Patients with predicted recurrence had lower survival rates, highlighting the models’ prognostic value. The AI models could guide treatment decisions and personalize postoperative care for better outcomes.