openalexSurgical Endoscopy2026-07-23
Early prediction of anastomotic leakage within 24 h after minimally invasive colorectal cancer surgery using postoperative inflammatory markers: development and temporal validation of a machine learning model
José Martín‐Arévalo, Andreia Guimarães, Irina Palomo-Lopez, David Moro‐Valdezate, Leticia Pérez‐Santiago, Stephanie Anne Garcia-Botello, et al.
PURPOSE: Early identification of anastomotic leakage (AL) is critical for safe discharge within enhanced recovery pathways. This study developed and prospectively validated a machine learning (ML) model to predict AL using 24-h postoperative inflammatory biomarkers. METHODS: We a…