Advances in the application of machine learning in biliary tract tumors
10.3760/cma.j.cn113884-20230627-00180
- VernacularTitle:机器学习在胆道肿瘤领域应用的研究进展
- Author:
Songlin XIE
1
;
Jinghan WANG
;
Xiaoqing JIANG
Author Information
1. 上海理工大学健康科学与工程学院，上海 200000
- Keywords:
Machine learning;
Biliary tract tumors;
Auxiliary diagnosis;
Screening prediction;
Survival prediction
- From:
Chinese Journal of Hepatobiliary Surgery
2023;29(10):797-800
- CountryChina
- Language:Chinese
-
Abstract:
Machine learning technology is more and more widely used in the medical field. Biliary tumor is a tumor originating from the biliary system with a very high degree of malignancy. Machine learning technology has been applied in the field of biliary malignancy to assist physicians in disease diagnosis and provide valuable prognostic prediction and early screening recommendations. This paper summarizes the research progress of machine learning in the field of biliary tract tumors in recent years, and provides references for the auxiliary diagnosis, early screening prediction and postoperative survival prediction of biliary tract tumors.
