Artificial intelligence and multi-omics driven models would be the future of intrahepatic cholangiocarcinoma prediction research  

作　　者：Zongren Ding Yongyi Zeng 

机构地区：[1]Department of Hepatopancreatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou,China

出　　处：《Hepatobiliary Surgery and Nutrition》2024年第3期560-561,共2页肝胆外科与营养（英文）

摘　　要：Intrahepatic cholangiocarcinoma(ICC)is a highly aggressive form of liver cancer and the incidence rate is increasing.Despite after curative surgery,postoperative prognosis remains poor for patients.While evidence supports the potential benefits of postoperative adjuvant therapy in reducing recurrence rates and enhancing survival outcomes,the specific beneficiaries of such treatment remain uncertain.Numerous prognostic models for ICC have been developed in recent years;however,their reliability and efficiency are constrained by small sample sizes,single-center research designs,and data limitations,thereby limiting their suitability for widespread clinical use.

关 键 词：Intrahepatic cholangiocarcinoma(ICC) predict models GENOMICS radiomics 

分 类 号：R735.8[医药卫生—肿瘤]