Machine learning-based radiomic nomogram from unenhanced computed tomography and clinical data predicts bowel resection in incarcerated inguinal hernia

Figure 5 Demonstrations of bowel resection results predicted by the novel fusion model. A-C: Case 1: A 63-year-old male patient diagnosed with incarcerated inguinal hernia (IIH), including the patient’s nomogram, preoperative computed tomography (CT) images, and intraoperative findings of the incarcerated bowel; D-F: Case 2: A 72-year-old male patient diagnosed with IIH, featuring the patient’s nomogram, preoperative CT images, and intraoperative findings from laparoscopic mesh repair procedures for the patient without bowel resection.