Ultrasound-Based Machine Learning and SHapley Additive exPlanations Method Evaluating Risk of Gallbladder Cancer: A Bicentric and Validation Study.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Published Date: Aug 9, 2025

Abstract

OBJECTIVES: This study aims to construct and evaluate 8 machine learning models by integrating ultrasound imaging features, clinical characteristics, and serological features to assess the risk of gallbladder cancer (GBC) occurrence in patients.

Authors

  • Binqiong Chen
    Department of Ultrasound, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Huohu Zhong
    Department of Ultrasound, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
  • Jiaojiao Lin
    Department of Ultrasound, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
  • Guorong Lyu
    Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.
  • Shanshan Su
    Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals