Kailing Tan
No ORCID on file
· 2 papers in corpus
· active 2025-2026
OBJECTIVES: This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for interpretability analys…