AUG 10, 2026 · JOURNAL ARTICLE
Biomarker-integrated machine learning models for predicting treatment-related bowel dysfunction after rectal cancer surgery: a multicenter development and external validation study
Frontiers in Medicine
Multicenter external validation of machine learning models for a clinically relevant surrogate endpoint (LARS prediction) with robust discrimination (AUC 0.903) in a reasonable sample, but limited to retrospective design and post-hoc risk stratification rather than prospective clinical decision-making or hard outcomes.
Reported
Training cohort major LARS incide…48.0% (243/506)
Validation cohort major LARS inci…52.2% (209/400)
Random forest AUC (external valid…0.903