The findings demonstrated that the five machine learning algorithms’ ultrasomics features could successfully differentiate between the EGFR expression status of HCC patients in the training and test datasets (p < 0.05), and that the ultrasomics model and the combined model constructed with an RF classifier outperformed the others in terms of predictive performance (Figures 4E,F; Table 3). The gene discussed is EGFR; the disease is hepatocellular carcinoma.