Patient-Specific Biomechanical Modeling of Incisional Hernias Using Artificial Intelligence and Finite Element Analysis

Incisional hernias are defects in the continuity of the abdominal wall that impair its mechanical function. This retrospective, single-center, non-interventional study aims to develop a patient-specific biomechanical model of the abdominal wall using artificial intelligence and finite element analysis. Anonymized computed tomography (CT) data will be analyzed to automatically identify and quantify key morphological features of the abdominal wall and incisional hernia. These features will be combined with clinical data and previously obtained experimental data on tissue mechanics to create a numerical model tailored to each patient.

Inclusion Criteria: * Adults aged 18 years or older. * Patients who underwent surgery at the University Hospital of Strasbourg between January 1, 2018, and September 1, 2026. * Midline, lateral, or parastomal incisional hernia. * Prosthetic reinforcement may or may not have been used. Exclusion Criteria: * Written objection documented in the patient's medical record to the reuse of their data for scientific research. * Legal protection measure. * Minor patients. * Pregnancy.