Prospective multicenter validation of a machine learning model for predicting anastomotic leakage in patients with gastric adenocarcinoma undergoing total or proximal gastrectomy
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Objective: Predicting esophago-gastric and esophagojejunal anastomotic leakage (AL) is inherently challenging. The aim of the present study was to investigate the clinical utility of a real-time machine learning model for predict... ...
