The MAPUSE model predicts microvascular invasion in hepatocellular carcinoma using contrast-enhanced ultrasound images. This deep learning approach identifies critical prognostic indicators before surgery, bypassing the need for postoperative histopathology. It provides clinicians with a non-invasive tool to assess tumor aggressiveness. Such precision imaging improves preoperative surgical planning and patient risk stratification.