Precision Recurrence Risk Assessment in Early-stage Hepatocellular Carcinoma

"This is a retrospective observational study analyzing existing clinical data; no experimental interventions were administered. The study evaluates the predictive performance of two deep learning models (preoperative and postoperative) using standard-of-care medical data collected during routine clinical practice, including:~Preoperative contrast-enhanced MRI scans Postoperative hematoxylin and eosin (H\&E)-stained whole slide images Clinical variables (laboratory results, pathology reports, and demographic data)~All data were collected as part of standard diagnostic and treatment protocols for hepatocellular carcinoma (HCC) patients undergoing liver resection. No additional interventions or modifications to clinical care were implemented for study purposes. The artificial intelligence models were applied to previously acquired, de-identified data to predict aggressive recurrence patterns"