Open access
Aug 2026
P1.195. A Machine Learning Model for Predicting Anastomotic Leak in Esophageal Cancer Patients Undergoing Esophagectomy: A Single-Center Retrospective Study
The developed ML models for predicting AL after esophagectomy demonstrated acceptable discriminative ability and identified key risk factors including radiotherapy, hemoglobin drop, bleeding, and lymphocyte count and provide a data-driven foundation for risk stratification.
Chi Zhang, Yongde Liao
· Diseases of the esophagus · 0 citations