摘要
机器学习技术在医学领域的应用越来越广泛。胆道恶性肿瘤是一种源自胆道系统且具有极高恶性程度的肿瘤,人们将机器学习技术应用于胆道肿瘤领域,目的是辅助医师进行疾病诊断,并提供有价值的预后预测和早期筛查建议。本文总结了近年来机器学习在胆道肿瘤领域的研究进展,为胆道肿瘤的辅助诊断、早期筛查预测和术后生存预测提供参考。
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.
作者
谢松霖
王敬晗
姜小清
Xie Songlin;Wang Jinghan;Jiang Xiaoqing(School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200000,China;Department of Hepatobiliary and Pancreatic Surgery,Dongfang Hospital Affiliated to Tongji University,Shanghai 200000,China;Department of Biliary Tract 1,the Third Affiliated Hospital of Naval Medical University(Shanghai East Hepatobiliary Hospital),Shanghai 200000,China)
出处
《中华肝胆外科杂志》
CAS
CSCD
北大核心
2023年第10期797-800,共4页
Chinese Journal of Hepatobiliary Surgery
基金
上海市浦东新区卫健委学科带头人计划(PWZxk2022-05)。
关键词
机器学习
胆道恶性肿瘤
辅助诊断
筛查预测
生存预测
Machine learning
Biliary tract tumors
Auxiliary diagnosis
Screening prediction
Survival prediction
