Kailing Tan

No ORCID on file · 3 papers in corpus
other 2026
An ultrasound-based machine learning model for predicting pelvic adhesions: A SHAP-enhanced XGBoost approach
Digital health ·doi:10.1177/20552076261416797

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…

other 2026
Multi-dimensional predictive model for diminished ovarian reserve in Hashimoto's thyroiditis: development and application
Reproductive biology and endocrinology : RB&E ·doi:10.1186/s12958-026-01582-5

PURPOSE: This study aimed to develop a predictive model for diminished ovarian reserve (DOR) in reproductive-aged women with Hashimoto's thyroiditis (HT) by integrating transvaginal three-dimensional ultrasound and clinical multimodal data,…

observational 2025
Multimodal ultrasound in evaluation of the endometrial receptivity in patients with different ultrasonic classifications of AM
·doi:10.21203/rs.3.rs-8194490/v1

Abstract Purpose To study the efficacy of multimodal ultrasonography in evaluating endometrial receptivity in patients presenting with various ultrasonic manifestations of adenomyosis (AM). Methods A total of 100 patients diagnosed with …