Yongde Liao

P1.195. A Machine Learning Model for Predicting Anastomotic Leak in Esophageal Cancer Patients Undergoing Esophagectomy: A Single-Center Retrospective Study

Abstract Topic Esophageal Cancer: Surgical Treatment of Esophageal Cancer – early outcomes and complications Background Anastomotic leak (AL) is one of the most severe complications after esophagectomy. Early identification of high-risk patients may help optimize perioperative ma...