Multimodal Deep Learning for Postoperative Liver Cancer Risk Stratification and Intervention

Inclusion Criteria: * Age and Consent: Patients aged 18-75 years who are able to understand and voluntarily sign an Informed Consent Form. * Diagnosis: Clinical diagnosis of BCLC stage 0-A hepatocellular carcinoma, confirmed by histopathology or non-invasive imaging criteria per guidelines. * Surgical Candidacy: Scheduled to undergo curative-intent liver resection. * Risk Stratification: Predicted as high-risk for aggressive recurrence by the pre-operative multimodal deep learning model (PRE score ≥ 0.5). * Liver Function: Child-Pugh liver function class A (score ≤ 7). * Performance Status: ECOG Performance Status of 0 or 1. * Imaging Requirement: Availability of a standard pre-operative MRI scan (including non-contrast, arterial, portal venous, and delayed phases) performed within 1 month prior to enrollment, with acceptable image quality. * Follow-up Commitment: Willing and able to comply with the study procedures and scheduled follow-up for at least 2 years. Exclusion Criteria: * Pathology: Postoperative pathological confirmation of non-HCC malignancy (e.g., cholangiocarcinoma, combined hepatocellular-cholangiocarcinoma). * Other Malignancies: History of other active malignancies within the past 5 years, except for appropriately treated carcinoma in situ of the cervix, non-melanoma skin cancer, or other cancers with a very low risk of recurrence. * Early Mortality/Loss: Death from any cause or loss to follow-up within 90 days after surgery. * Contraindications to Protoc…