Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning

Abstract

The findings of this cohort study suggest that the PMetNet model can serve as a reliable noninvasive tool for early identification of patients with clinically occult peritoneal metastasis, which will inform individualized preoperative treatment decision-making and may avoid unnecessary surgery and complications. These results warrant further validation in prospective studies.