An advanced AI tool has been developed to predict intraoperative liver resection complexity (LRC) using preoperative CT scans. By generating 3D models of anatomy, including tumors and vascular structures, the tool outperforms traditional predictions made by surgeons. With an accuracy of 79.4% and an AUC of 85.1%, it provides significant improvements in forecasting surgical complexity. This innovation could streamline oncology surgery planning and guide patients to suitable medical centers based on anticipated LRC.
Journal Article by Ali O, Bône A (…) Vibert E et 7 al. in Ann Surg
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