OC-008 NEURAL NETWORKS PREDICTING HERNIA RECURRENCE AFTER ABDOMINAL WALL RECONSTRUCTION (AWR) PERFORM BETTER WITHOUT PREOPERATIVE IMAGING

Image-based deep learning models (DLMs) have shown promise in predicting surgical complexity and wound complications for AWR with the potential to augment other clinical information in surgical decision-making. The purpose of this study is to evaluate a preoperative image-based DLM in predicting hernia recurrence